1 Abstract

Macarron is a workflow to systematically annotate and prioritize potentially bioactive (and often unannotated) small molecules in microbial community metabolomic datasets. Macarron prioritizes metabolic features as potentially bioactive in a phenotype/condition of interest using a combination of (a) covariance with annotated metabolites, (b) ecological properties such as abundance with respect to covarying annotated compounds, and (c) differential abundance in the phenotype/condition of interest.

If you have questions, please direct it to: Macarron Forum

2 Installation

Macarron requires R version 4.2.0 or higher. Install Bioconductor and then install Macarron:

if(!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Macarron")

3 Running Macarron

Macarron can be run from the command line or as an R function. Both methods require the same arguments, have the same options, and use the same default settings. The package includes the wrapper Macarron() as well as functions which perform different steps in the Macarron framework.

3.1 Input CSV files

Macarron requires 4 comma-separated, appropriately formatted input files. The files and their formatting constraints are described below.

  1. Metabolic features abundances
    • Must contain features in rows and samples in columns.
    • First column must identify features.
  2. Metabolic features annotations
    • Must contain features in rows and annotations in columns.
    • First column must identify features.
    • Second column must contain either HMDB ID or PubChem Compound Identifier (CID).
    • Third column must contain the name of the metabolite.
    • Fourth column must contain a continuous chemical property such as m/z or RT or shift/ppm.
    • Other annotations such as RT, m/z or other identifiers can be listed column 4 onward.
  3. Sample metadata
    • Must contain samples in rows and metadata in columns.
    • First column must identify samples.
    • Second column must contain categorical metadata relevant to prioritization such as phenotypes, exposures or environments.
  4. Chemical taxonomy
    • First column must contain the HMDB ID or PubChem CID. IDs must be consistent between annotation and taxonomy files.
    • Second and third columns must contain chemical subclass and class of the respective metabolite.

If you do not have the chemical taxonomy file, you can generate this file using the annotation dataframe and Macarron utility decorate_ID (see Advanced Topics).

3.2 Output Files

By default, all files will be stored in a folder named Macarron_output inside the current working directory. The main prioritization results are stored in prioritized_metabolites_all.csv. Another file, prioritized_metabolites_characterizable.csv is a subset of prioritized_metabolites_all.csv and only contains metabolic features which covary with at least one annotated metabolite. The columns in these output files are:

  • Feature_index: Lists the identifier of the metabolic feature found in column 1 of abundance and annotation files.
  • HMDB_ID (or PubChem ID): Public database identifier from column 2 of annotation file (column 1 of annotation dataframe).
  • Metabolite name: From column 2 of annotation dataframe.
  • mz: The continuous numerical chemical property from column 3 of the annotation dataframe.
  • Priority_score: 1 indicates most prioritized. It is the percentile from the meta-rank of AVA, q-value and effect size.
  • Status: Direction of perturbation (differential abundance) in the phenotype (or environment) of interest compared to reference phenotype.
  • Module: ID of the covariance module a metabolic feature is a member of. Module = 0 indicates a singleton i.e., a metabolic feature that is not assigned to any module.
  • Anchor (of a module): Metabolic feature that has the highest abundance in any phenotype.
  • Related_classes: Chemical taxonomy of the annotated features that covary with a metabolic feature.
  • Covaries_with_standard: 1 (yes) and 0 (no). Column specifies if the metabolic feature covaries with at least one annotated (standard) metabolite.
  • AVA: Abundance versus anchor which is a ratio of the highest abundance (in any phenotype) of a metabolic feature and highest abundance of the covarying anchor. Naturally, the AVA of an anchor metabolite is 1.
  • qvalue: Estimated from multivariate linear model using Maaslin2.
  • effect_size
  • Remaining columns from the annotation dataframe are appended.

3.3 Run a demo in R

3.3.1 Using CSV files as inputs

Example (demo) input files can be found under inst/extdata folder of the Macarron source. These files were generated from the PRISM study of stool metabolomes of individuals with inflammatory bowel disease (IBD) and healthy “Control” individuals. Control and IBD are the two phenotypes in this example. Macarron will be applied to prioritize metabolic features with respect to their bioactivity in IBD. Therefore, in this example, the phenotype of interest is “IBD” and the reference phenotype is “Control”. The four input files are demo_abundances.csv, demo_annotations.csv, demo_metadata.csv, and demo_taxonomy.csv.

library(Macarron)
## Loading required package: SummarizedExperiment
## Loading required package: MatrixGenerics
## Loading required package: matrixStats
## 
## Attaching package: 'MatrixGenerics'
## The following objects are masked from 'package:matrixStats':
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##     colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
##     colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
##     colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
##     colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
##     colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
##     colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
##     colWeightedMeans, colWeightedMedians, colWeightedSds,
##     colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
##     rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
##     rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
##     rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
##     rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
##     rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
##     rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
##     rowWeightedSds, rowWeightedVars
## Loading required package: GenomicRanges
## Loading required package: stats4
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##     lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
##     pmin.int, rank, rbind, rownames, sapply, setdiff, table, tapply,
##     union, unique, unsplit, which.max, which.min
## Loading required package: S4Vectors
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## Attaching package: 'S4Vectors'
## The following object is masked from 'package:utils':
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## The following objects are masked from 'package:base':
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## Loading required package: IRanges
## Loading required package: GenomeInfoDb
## Loading required package: Biobase
## Welcome to Bioconductor
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##     Vignettes contain introductory material; view with
##     'browseVignettes()'. To cite Bioconductor, see
##     'citation("Biobase")', and for packages 'citation("pkgname")'.
## 
## Attaching package: 'Biobase'
## The following object is masked from 'package:MatrixGenerics':
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prism_abundances <- system.file(
    'extdata','demo_abundances.csv', package="Macarron")
prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
prism_metadata <-system.file(
    'extdata','demo_metadata.csv', package="Macarron")
mets_taxonomy <-system.file(
    'extdata','demo_taxonomy.csv', package="Macarron")
prism_prioritized <- Macarron::Macarron(input_abundances = prism_abundances,
                                        input_annotations = prism_annotations,
                                        input_metadata = prism_metadata,
                                        input_taxonomy = mets_taxonomy)
## 2024-06-25 17:21:06.32577 INFO::Creating output folder.
## 2024-06-25 17:21:06.330755 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2024-06-25 17:21:06.350383 INFO::Summarized Experiment created.
## 2024-06-25 17:21:06.350953 INFO::Metadata chosen for prevalence filtering: diagnosis
## 869 features pass chosen minimum prevalence threshold of 0.7.
## Calculating pairwise correlations in phenotype: IBD
## 
## Calculating pairwise correlations in phenotype: Control
## Distance matrix with 869 features created.
## 2024-06-25 17:21:08.262321 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2024-06-25 17:21:08.262854 INFO::Minimum module size used for this dataset: 10
## Tree constructed
## Evaluating measures of success
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
## 2024-06-25 17:21:08.806592 INFO::Total number of modules detected: 30
## Initiating AVA calculations
## Finding anchors
## Calculating AVA
## Initiating q-value calculations
## [1] "Creating output folder"
## [1] "Creating output feature tables folder"
## [1] "Creating output fits folder"
## [1] "Creating output figures folder"
## 2024-06-25 17:21:09.419494 INFO::Writing function arguments to log file
## 2024-06-25 17:21:09.421617 INFO::Verifying options selected are valid
## 2024-06-25 17:21:09.439974 INFO::Determining format of input files
## 2024-06-25 17:21:09.440424 INFO::Input format is data samples as columns and metadata samples as rows
## 2024-06-25 17:21:09.446414 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2024-06-25 17:21:09.44696 INFO::Filter data based on min abundance and min prevalence
## 2024-06-25 17:21:09.447189 INFO::Total samples in data: 102
## 2024-06-25 17:21:09.447399 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2024-06-25 17:21:09.451791 INFO::Total filtered features: 0
## 2024-06-25 17:21:09.452162 INFO::Filtered feature names from abundance and prevalence filtering:
## 2024-06-25 17:21:09.458736 INFO::Total filtered features with variance filtering: 0
## 2024-06-25 17:21:09.459074 INFO::Filtered feature names from variance filtering:
## 2024-06-25 17:21:09.459309 INFO::Running selected normalization method: NONE
## 2024-06-25 17:21:09.459569 INFO::Applying z-score to standardize continuous metadata
## 2024-06-25 17:21:09.46974 INFO::Running selected transform method: NONE
## 2024-06-25 17:21:09.470119 INFO::Running selected analysis method: LM
## 2024-06-25 17:21:09.472442 INFO::Fitting model to feature number 1, F1
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## 2024-06-25 17:21:09.674682 INFO::Fitting model to feature number 162, F168
## 2024-06-25 17:21:09.675836 INFO::Fitting model to feature number 163, F169
## 2024-06-25 17:21:09.676965 INFO::Fitting model to feature number 164, F170
## 2024-06-25 17:21:09.678085 INFO::Fitting model to feature number 165, F171
## 2024-06-25 17:21:09.679215 INFO::Fitting model to feature number 166, F172
## 2024-06-25 17:21:09.680341 INFO::Fitting model to feature number 167, F173
## 2024-06-25 17:21:09.681504 INFO::Fitting model to feature number 168, F174
## 2024-06-25 17:21:09.682674 INFO::Fitting model to feature number 169, F175
## 2024-06-25 17:21:09.683787 INFO::Fitting model to feature number 170, F176
## 2024-06-25 17:21:09.68489 INFO::Fitting model to feature number 171, F177
## 2024-06-25 17:21:09.686 INFO::Fitting model to feature number 172, F178
## 2024-06-25 17:21:09.687102 INFO::Fitting model to feature number 173, F179
## 2024-06-25 17:21:09.688215 INFO::Fitting model to feature number 174, F180
## 2024-06-25 17:21:09.689301 INFO::Fitting model to feature number 175, F181
## 2024-06-25 17:21:09.690373 INFO::Fitting model to feature number 176, F182
## 2024-06-25 17:21:09.691463 INFO::Fitting model to feature number 177, F183
## 2024-06-25 17:21:09.692524 INFO::Fitting model to feature number 178, F184
## 2024-06-25 17:21:09.693602 INFO::Fitting model to feature number 179, F185
## 2024-06-25 17:21:09.694733 INFO::Fitting model to feature number 180, F186
## 2024-06-25 17:21:09.695868 INFO::Fitting model to feature number 181, F187
## 2024-06-25 17:21:09.697005 INFO::Fitting model to feature number 182, F188
## 2024-06-25 17:21:09.698138 INFO::Fitting model to feature number 183, F189
## 2024-06-25 17:21:09.69927 INFO::Fitting model to feature number 184, F190
## 2024-06-25 17:21:09.700374 INFO::Fitting model to feature number 185, F191
## 2024-06-25 17:21:09.701479 INFO::Fitting model to feature number 186, F192
## 2024-06-25 17:21:09.702552 INFO::Fitting model to feature number 187, F193
## 2024-06-25 17:21:09.703624 INFO::Fitting model to feature number 188, F194
## 2024-06-25 17:21:09.704689 INFO::Fitting model to feature number 189, F195
## 2024-06-25 17:21:09.70581 INFO::Fitting model to feature number 190, F196
## 2024-06-25 17:21:09.707001 INFO::Fitting model to feature number 191, F197
## 2024-06-25 17:21:09.708148 INFO::Fitting model to feature number 192, F198
## 2024-06-25 17:21:09.709312 INFO::Fitting model to feature number 193, F199
## 2024-06-25 17:21:09.710433 INFO::Fitting model to feature number 194, F200
## 2024-06-25 17:21:09.711569 INFO::Fitting model to feature number 195, F201
## 2024-06-25 17:21:09.712848 INFO::Fitting model to feature number 196, F202
## 2024-06-25 17:21:09.714068 INFO::Fitting model to feature number 197, F203
## 2024-06-25 17:21:09.715172 INFO::Fitting model to feature number 198, F204
## 2024-06-25 17:21:09.716296 INFO::Fitting model to feature number 199, F206
## 2024-06-25 17:21:09.717388 INFO::Fitting model to feature number 200, F207
## 2024-06-25 17:21:09.718486 INFO::Fitting model to feature number 201, F208
## 2024-06-25 17:21:09.719564 INFO::Fitting model to feature number 202, F209
## 2024-06-25 17:21:09.720666 INFO::Fitting model to feature number 203, F210
## 2024-06-25 17:21:09.721777 INFO::Fitting model to feature number 204, F211
## 2024-06-25 17:21:09.722879 INFO::Fitting model to feature number 205, F212
## 2024-06-25 17:21:09.723968 INFO::Fitting model to feature number 206, F213
## 2024-06-25 17:21:09.725047 INFO::Fitting model to feature number 207, F214
## 2024-06-25 17:21:09.726117 INFO::Fitting model to feature number 208, F215
## 2024-06-25 17:21:09.727216 INFO::Fitting model to feature number 209, F216
## 2024-06-25 17:21:09.728296 INFO::Fitting model to feature number 210, F217
## 2024-06-25 17:21:09.729366 INFO::Fitting model to feature number 211, F218
## 2024-06-25 17:21:09.730433 INFO::Fitting model to feature number 212, F219
## 2024-06-25 17:21:09.731507 INFO::Fitting model to feature number 213, F220
## 2024-06-25 17:21:09.732582 INFO::Fitting model to feature number 214, F221
## 2024-06-25 17:21:09.733653 INFO::Fitting model to feature number 215, F222
## 2024-06-25 17:21:09.734712 INFO::Fitting model to feature number 216, F223
## 2024-06-25 17:21:09.735818 INFO::Fitting model to feature number 217, F224
## 2024-06-25 17:21:09.736961 INFO::Fitting model to feature number 218, F225
## 2024-06-25 17:21:09.738081 INFO::Fitting model to feature number 219, F226
## 2024-06-25 17:21:09.739222 INFO::Fitting model to feature number 220, F227
## 2024-06-25 17:21:09.740296 INFO::Fitting model to feature number 221, F228
## 2024-06-25 17:21:09.741371 INFO::Fitting model to feature number 222, F229
## 2024-06-25 17:21:09.742455 INFO::Fitting model to feature number 223, F230
## 2024-06-25 17:21:09.743541 INFO::Fitting model to feature number 224, F231
## 2024-06-25 17:21:09.744684 INFO::Fitting model to feature number 225, F232
## 2024-06-25 17:21:09.745859 INFO::Fitting model to feature number 226, F233
## 2024-06-25 17:21:09.746981 INFO::Fitting model to feature number 227, F234
## 2024-06-25 17:21:09.748101 INFO::Fitting model to feature number 228, F235
## 2024-06-25 17:21:09.749218 INFO::Fitting model to feature number 229, F236
## 2024-06-25 17:21:09.750371 INFO::Fitting model to feature number 230, F237
## 2024-06-25 17:21:09.751506 INFO::Fitting model to feature number 231, F238
## 2024-06-25 17:21:09.75259 INFO::Fitting model to feature number 232, F239
## 2024-06-25 17:21:09.753661 INFO::Fitting model to feature number 233, F240
## 2024-06-25 17:21:09.754731 INFO::Fitting model to feature number 234, F241
## 2024-06-25 17:21:09.755787 INFO::Fitting model to feature number 235, F242
## 2024-06-25 17:21:09.756854 INFO::Fitting model to feature number 236, F243
## 2024-06-25 17:21:09.758016 INFO::Fitting model to feature number 237, F244
## 2024-06-25 17:21:09.759196 INFO::Fitting model to feature number 238, F245
## 2024-06-25 17:21:09.760311 INFO::Fitting model to feature number 239, F246
## 2024-06-25 17:21:09.761439 INFO::Fitting model to feature number 240, F247
## 2024-06-25 17:21:09.762567 INFO::Fitting model to feature number 241, F248
## 2024-06-25 17:21:09.763643 INFO::Fitting model to feature number 242, F249
## 2024-06-25 17:21:09.764706 INFO::Fitting model to feature number 243, F250
## 2024-06-25 17:21:09.765785 INFO::Fitting model to feature number 244, F252
## 2024-06-25 17:21:09.766857 INFO::Fitting model to feature number 245, F253
## 2024-06-25 17:21:09.767929 INFO::Fitting model to feature number 246, F254
## 2024-06-25 17:21:09.769059 INFO::Fitting model to feature number 247, F255
## 2024-06-25 17:21:09.770194 INFO::Fitting model to feature number 248, F256
## 2024-06-25 17:21:09.77131 INFO::Fitting model to feature number 249, F257
## 2024-06-25 17:21:09.772443 INFO::Fitting model to feature number 250, F259
## 2024-06-25 17:21:09.773628 INFO::Fitting model to feature number 251, F260
## 2024-06-25 17:21:09.774842 INFO::Fitting model to feature number 252, F261
## 2024-06-25 17:21:09.775988 INFO::Fitting model to feature number 253, F262
## 2024-06-25 17:21:09.777095 INFO::Fitting model to feature number 254, F263
## 2024-06-25 17:21:09.778179 INFO::Fitting model to feature number 255, F264
## 2024-06-25 17:21:09.779269 INFO::Fitting model to feature number 256, F265
## 2024-06-25 17:21:09.780363 INFO::Fitting model to feature number 257, F266
## 2024-06-25 17:21:09.781506 INFO::Fitting model to feature number 258, F267
## 2024-06-25 17:21:09.782656 INFO::Fitting model to feature number 259, F269
## 2024-06-25 17:21:09.783766 INFO::Fitting model to feature number 260, F270
## 2024-06-25 17:21:09.784887 INFO::Fitting model to feature number 261, F271
## 2024-06-25 17:21:09.786006 INFO::Fitting model to feature number 262, F272
## 2024-06-25 17:21:09.787117 INFO::Fitting model to feature number 263, F273
## 2024-06-25 17:21:09.788202 INFO::Fitting model to feature number 264, F274
## 2024-06-25 17:21:09.789308 INFO::Fitting model to feature number 265, F276
## 2024-06-25 17:21:09.790407 INFO::Fitting model to feature number 266, F277
## 2024-06-25 17:21:09.791538 INFO::Fitting model to feature number 267, F278
## 2024-06-25 17:21:09.792675 INFO::Fitting model to feature number 268, F279
## 2024-06-25 17:21:09.793845 INFO::Fitting model to feature number 269, F280
## 2024-06-25 17:21:09.795002 INFO::Fitting model to feature number 270, F281
## 2024-06-25 17:21:09.796109 INFO::Fitting model to feature number 271, F282
## 2024-06-25 17:21:09.797165 INFO::Fitting model to feature number 272, F283
## 2024-06-25 17:21:09.798257 INFO::Fitting model to feature number 273, F284
## 2024-06-25 17:21:09.799327 INFO::Fitting model to feature number 274, F285
## 2024-06-25 17:21:09.800408 INFO::Fitting model to feature number 275, F286
## 2024-06-25 17:21:09.801588 INFO::Fitting model to feature number 276, F287
## 2024-06-25 17:21:09.802732 INFO::Fitting model to feature number 277, F288
## 2024-06-25 17:21:09.803913 INFO::Fitting model to feature number 278, F289
## 2024-06-25 17:21:09.805038 INFO::Fitting model to feature number 279, F290
## 2024-06-25 17:21:09.806162 INFO::Fitting model to feature number 280, F292
## 2024-06-25 17:21:09.807244 INFO::Fitting model to feature number 281, F293
## 2024-06-25 17:21:09.808318 INFO::Fitting model to feature number 282, F294
## 2024-06-25 17:21:09.809395 INFO::Fitting model to feature number 283, F295
## 2024-06-25 17:21:09.810474 INFO::Fitting model to feature number 284, F296
## 2024-06-25 17:21:09.811584 INFO::Fitting model to feature number 285, F297
## 2024-06-25 17:21:09.812749 INFO::Fitting model to feature number 286, F298
## 2024-06-25 17:21:09.813877 INFO::Fitting model to feature number 287, F299
## 2024-06-25 17:21:09.815017 INFO::Fitting model to feature number 288, F300
## 2024-06-25 17:21:09.81613 INFO::Fitting model to feature number 289, F301
## 2024-06-25 17:21:09.817298 INFO::Fitting model to feature number 290, F302
## 2024-06-25 17:21:09.818626 INFO::Fitting model to feature number 291, F303
## 2024-06-25 17:21:09.819803 INFO::Fitting model to feature number 292, F304
## 2024-06-25 17:21:09.820928 INFO::Fitting model to feature number 293, F305
## 2024-06-25 17:21:09.822087 INFO::Fitting model to feature number 294, F306
## 2024-06-25 17:21:09.823219 INFO::Fitting model to feature number 295, F307
## 2024-06-25 17:21:09.824337 INFO::Fitting model to feature number 296, F308
## 2024-06-25 17:21:09.82543 INFO::Fitting model to feature number 297, F309
## 2024-06-25 17:21:09.826517 INFO::Fitting model to feature number 298, F310
## 2024-06-25 17:21:09.827603 INFO::Fitting model to feature number 299, F311
## 2024-06-25 17:21:09.828697 INFO::Fitting model to feature number 300, F312
## 2024-06-25 17:21:09.829802 INFO::Fitting model to feature number 301, F313
## 2024-06-25 17:21:09.830971 INFO::Fitting model to feature number 302, F315
## 2024-06-25 17:21:09.832119 INFO::Fitting model to feature number 303, F316
## 2024-06-25 17:21:09.833245 INFO::Fitting model to feature number 304, F317
## 2024-06-25 17:21:09.83437 INFO::Fitting model to feature number 305, F318
## 2024-06-25 17:21:09.835477 INFO::Fitting model to feature number 306, F319
## 2024-06-25 17:21:09.836572 INFO::Fitting model to feature number 307, F320
## 2024-06-25 17:21:09.837677 INFO::Fitting model to feature number 308, F321
## 2024-06-25 17:21:09.838793 INFO::Fitting model to feature number 309, F322
## 2024-06-25 17:21:09.839874 INFO::Fitting model to feature number 310, F323
## 2024-06-25 17:21:09.840971 INFO::Fitting model to feature number 311, F324
## 2024-06-25 17:21:09.84209 INFO::Fitting model to feature number 312, F325
## 2024-06-25 17:21:09.843182 INFO::Fitting model to feature number 313, F326
## 2024-06-25 17:21:09.844307 INFO::Fitting model to feature number 314, F327
## 2024-06-25 17:21:09.845451 INFO::Fitting model to feature number 315, F328
## 2024-06-25 17:21:09.8466 INFO::Fitting model to feature number 316, F329
## 2024-06-25 17:21:09.847742 INFO::Fitting model to feature number 317, F330
## 2024-06-25 17:21:09.848874 INFO::Fitting model to feature number 318, F331
## 2024-06-25 17:21:09.849965 INFO::Fitting model to feature number 319, F332
## 2024-06-25 17:21:09.85105 INFO::Fitting model to feature number 320, F333
## 2024-06-25 17:21:09.852173 INFO::Fitting model to feature number 321, F334
## 2024-06-25 17:21:09.85327 INFO::Fitting model to feature number 322, F335
## 2024-06-25 17:21:09.854366 INFO::Fitting model to feature number 323, F336
## 2024-06-25 17:21:09.855514 INFO::Fitting model to feature number 324, F337
## 2024-06-25 17:21:09.856708 INFO::Fitting model to feature number 325, F338
## 2024-06-25 17:21:09.857856 INFO::Fitting model to feature number 326, F339
## 2024-06-25 17:21:09.859023 INFO::Fitting model to feature number 327, F340
## 2024-06-25 17:21:09.860368 INFO::Fitting model to feature number 328, F342
## 2024-06-25 17:21:09.861636 INFO::Fitting model to feature number 329, F343
## 2024-06-25 17:21:09.862758 INFO::Fitting model to feature number 330, F344
## 2024-06-25 17:21:09.863853 INFO::Fitting model to feature number 331, F345
## 2024-06-25 17:21:09.864962 INFO::Fitting model to feature number 332, F346
## 2024-06-25 17:21:09.866066 INFO::Fitting model to feature number 333, F347
## 2024-06-25 17:21:09.867154 INFO::Fitting model to feature number 334, F348
## 2024-06-25 17:21:09.868259 INFO::Fitting model to feature number 335, F350
## 2024-06-25 17:21:09.869393 INFO::Fitting model to feature number 336, F351
## 2024-06-25 17:21:09.870497 INFO::Fitting model to feature number 337, F352
## 2024-06-25 17:21:09.871612 INFO::Fitting model to feature number 338, F353
## 2024-06-25 17:21:09.872736 INFO::Fitting model to feature number 339, F355
## 2024-06-25 17:21:09.873846 INFO::Fitting model to feature number 340, F356
## 2024-06-25 17:21:09.874955 INFO::Fitting model to feature number 341, F357
## 2024-06-25 17:21:09.876051 INFO::Fitting model to feature number 342, F358
## 2024-06-25 17:21:09.877151 INFO::Fitting model to feature number 343, F359
## 2024-06-25 17:21:09.878237 INFO::Fitting model to feature number 344, F360
## 2024-06-25 17:21:09.879327 INFO::Fitting model to feature number 345, F361
## 2024-06-25 17:21:09.88042 INFO::Fitting model to feature number 346, F362
## 2024-06-25 17:21:09.881526 INFO::Fitting model to feature number 347, F363
## 2024-06-25 17:21:09.882607 INFO::Fitting model to feature number 348, F364
## 2024-06-25 17:21:09.883711 INFO::Fitting model to feature number 349, F365
## 2024-06-25 17:21:09.884826 INFO::Fitting model to feature number 350, F366
## 2024-06-25 17:21:09.885907 INFO::Fitting model to feature number 351, F367
## 2024-06-25 17:21:09.887035 INFO::Fitting model to feature number 352, F368
## 2024-06-25 17:21:09.888148 INFO::Fitting model to feature number 353, F369
## 2024-06-25 17:21:09.889272 INFO::Fitting model to feature number 354, F370
## 2024-06-25 17:21:09.890402 INFO::Fitting model to feature number 355, F371
## 2024-06-25 17:21:09.891531 INFO::Fitting model to feature number 356, F372
## 2024-06-25 17:21:09.892778 INFO::Fitting model to feature number 357, F373
## 2024-06-25 17:21:09.893878 INFO::Fitting model to feature number 358, F374
## 2024-06-25 17:21:09.894951 INFO::Fitting model to feature number 359, F375
## 2024-06-25 17:21:09.896028 INFO::Fitting model to feature number 360, F376
## 2024-06-25 17:21:09.897095 INFO::Fitting model to feature number 361, F377
## 2024-06-25 17:21:09.89822 INFO::Fitting model to feature number 362, F378
## 2024-06-25 17:21:09.899321 INFO::Fitting model to feature number 363, F379
## 2024-06-25 17:21:09.900428 INFO::Fitting model to feature number 364, F380
## 2024-06-25 17:21:09.901502 INFO::Fitting model to feature number 365, F381
## 2024-06-25 17:21:09.902872 INFO::Fitting model to feature number 366, F382
## 2024-06-25 17:21:09.904086 INFO::Fitting model to feature number 367, F383
## 2024-06-25 17:21:09.905219 INFO::Fitting model to feature number 368, F384
## 2024-06-25 17:21:09.906328 INFO::Fitting model to feature number 369, F386
## 2024-06-25 17:21:09.907432 INFO::Fitting model to feature number 370, F387
## 2024-06-25 17:21:09.908527 INFO::Fitting model to feature number 371, F388
## 2024-06-25 17:21:09.909638 INFO::Fitting model to feature number 372, F389
## 2024-06-25 17:21:09.910733 INFO::Fitting model to feature number 373, F390
## 2024-06-25 17:21:09.911826 INFO::Fitting model to feature number 374, F391
## 2024-06-25 17:21:09.912932 INFO::Fitting model to feature number 375, F392
## 2024-06-25 17:21:09.914048 INFO::Fitting model to feature number 376, F393
## 2024-06-25 17:21:09.915139 INFO::Fitting model to feature number 377, F394
## 2024-06-25 17:21:09.916247 INFO::Fitting model to feature number 378, F395
## 2024-06-25 17:21:09.917362 INFO::Fitting model to feature number 379, F396
## 2024-06-25 17:21:09.918502 INFO::Fitting model to feature number 380, F397
## 2024-06-25 17:21:09.9196 INFO::Fitting model to feature number 381, F398
## 2024-06-25 17:21:09.920735 INFO::Fitting model to feature number 382, F399
## 2024-06-25 17:21:09.921842 INFO::Fitting model to feature number 383, F400
## 2024-06-25 17:21:09.922956 INFO::Fitting model to feature number 384, F401
## 2024-06-25 17:21:09.924058 INFO::Fitting model to feature number 385, F402
## 2024-06-25 17:21:09.92516 INFO::Fitting model to feature number 386, F403
## 2024-06-25 17:21:09.926267 INFO::Fitting model to feature number 387, F404
## 2024-06-25 17:21:09.927451 INFO::Fitting model to feature number 388, F406
## 2024-06-25 17:21:09.928564 INFO::Fitting model to feature number 389, F407
## 2024-06-25 17:21:09.929683 INFO::Fitting model to feature number 390, F408
## 2024-06-25 17:21:09.930768 INFO::Fitting model to feature number 391, F409
## 2024-06-25 17:21:09.931882 INFO::Fitting model to feature number 392, F410
## 2024-06-25 17:21:09.932984 INFO::Fitting model to feature number 393, F411
## 2024-06-25 17:21:09.934272 INFO::Fitting model to feature number 394, F412
## 2024-06-25 17:21:09.935496 INFO::Fitting model to feature number 395, F413
## 2024-06-25 17:21:09.936646 INFO::Fitting model to feature number 396, F414
## 2024-06-25 17:21:09.937777 INFO::Fitting model to feature number 397, F415
## 2024-06-25 17:21:09.93889 INFO::Fitting model to feature number 398, F416
## 2024-06-25 17:21:09.939997 INFO::Fitting model to feature number 399, F417
## 2024-06-25 17:21:09.941107 INFO::Fitting model to feature number 400, F418
## 2024-06-25 17:21:09.942195 INFO::Fitting model to feature number 401, F419
## 2024-06-25 17:21:09.943294 INFO::Fitting model to feature number 402, F420
## 2024-06-25 17:21:09.944424 INFO::Fitting model to feature number 403, F421
## 2024-06-25 17:21:09.94557 INFO::Fitting model to feature number 404, F422
## 2024-06-25 17:21:09.946712 INFO::Fitting model to feature number 405, F423
## 2024-06-25 17:21:09.947826 INFO::Fitting model to feature number 406, F425
## 2024-06-25 17:21:09.948965 INFO::Fitting model to feature number 407, F426
## 2024-06-25 17:21:09.950086 INFO::Fitting model to feature number 408, F428
## 2024-06-25 17:21:09.951215 INFO::Fitting model to feature number 409, F429
## 2024-06-25 17:21:09.952319 INFO::Fitting model to feature number 410, F430
## 2024-06-25 17:21:09.953429 INFO::Fitting model to feature number 411, F431
## 2024-06-25 17:21:09.954594 INFO::Fitting model to feature number 412, F432
## 2024-06-25 17:21:09.955682 INFO::Fitting model to feature number 413, F433
## 2024-06-25 17:21:09.956876 INFO::Fitting model to feature number 414, F434
## 2024-06-25 17:21:09.957985 INFO::Fitting model to feature number 415, F435
## 2024-06-25 17:21:09.959102 INFO::Fitting model to feature number 416, F436
## 2024-06-25 17:21:09.960212 INFO::Fitting model to feature number 417, F437
## 2024-06-25 17:21:09.977283 INFO::Fitting model to feature number 418, F438
## 2024-06-25 17:21:09.978773 INFO::Fitting model to feature number 419, F439
## 2024-06-25 17:21:09.979933 INFO::Fitting model to feature number 420, F440
## 2024-06-25 17:21:09.981059 INFO::Fitting model to feature number 421, F441
## 2024-06-25 17:21:09.98214 INFO::Fitting model to feature number 422, F442
## 2024-06-25 17:21:09.98322 INFO::Fitting model to feature number 423, F443
## 2024-06-25 17:21:09.98431 INFO::Fitting model to feature number 424, F444
## 2024-06-25 17:21:09.985391 INFO::Fitting model to feature number 425, F445
## 2024-06-25 17:21:09.986487 INFO::Fitting model to feature number 426, F446
## 2024-06-25 17:21:09.98756 INFO::Fitting model to feature number 427, F447
## 2024-06-25 17:21:09.988642 INFO::Fitting model to feature number 428, F448
## 2024-06-25 17:21:09.989719 INFO::Fitting model to feature number 429, F449
## 2024-06-25 17:21:09.990804 INFO::Fitting model to feature number 430, F450
## 2024-06-25 17:21:09.991881 INFO::Fitting model to feature number 431, F451
## 2024-06-25 17:21:09.992993 INFO::Fitting model to feature number 432, F452
## 2024-06-25 17:21:09.994054 INFO::Fitting model to feature number 433, F454
## 2024-06-25 17:21:09.995136 INFO::Fitting model to feature number 434, F455
## 2024-06-25 17:21:09.996198 INFO::Fitting model to feature number 435, F456
## 2024-06-25 17:21:09.997275 INFO::Fitting model to feature number 436, F457
## 2024-06-25 17:21:09.998359 INFO::Fitting model to feature number 437, F458
## 2024-06-25 17:21:09.99943 INFO::Fitting model to feature number 438, F459
## 2024-06-25 17:21:10.000505 INFO::Fitting model to feature number 439, F461
## 2024-06-25 17:21:10.001596 INFO::Fitting model to feature number 440, F462
## 2024-06-25 17:21:10.00266 INFO::Fitting model to feature number 441, F463
## 2024-06-25 17:21:10.003741 INFO::Fitting model to feature number 442, F464
## 2024-06-25 17:21:10.004806 INFO::Fitting model to feature number 443, F465
## 2024-06-25 17:21:10.005888 INFO::Fitting model to feature number 444, F466
## 2024-06-25 17:21:10.006955 INFO::Fitting model to feature number 445, F467
## 2024-06-25 17:21:10.008035 INFO::Fitting model to feature number 446, F468
## 2024-06-25 17:21:10.009108 INFO::Fitting model to feature number 447, F469
## 2024-06-25 17:21:10.010188 INFO::Fitting model to feature number 448, F470
## 2024-06-25 17:21:10.011272 INFO::Fitting model to feature number 449, F471
## 2024-06-25 17:21:10.012366 INFO::Fitting model to feature number 450, F474
## 2024-06-25 17:21:10.013446 INFO::Fitting model to feature number 451, F475
## 2024-06-25 17:21:10.01452 INFO::Fitting model to feature number 452, F476
## 2024-06-25 17:21:10.015586 INFO::Fitting model to feature number 453, F477
## 2024-06-25 17:21:10.016666 INFO::Fitting model to feature number 454, F478
## 2024-06-25 17:21:10.017715 INFO::Fitting model to feature number 455, F479
## 2024-06-25 17:21:10.018774 INFO::Fitting model to feature number 456, F480
## 2024-06-25 17:21:10.019847 INFO::Fitting model to feature number 457, F481
## 2024-06-25 17:21:10.020931 INFO::Fitting model to feature number 458, F482
## 2024-06-25 17:21:10.022014 INFO::Fitting model to feature number 459, F483
## 2024-06-25 17:21:10.023106 INFO::Fitting model to feature number 460, F484
## 2024-06-25 17:21:10.0242 INFO::Fitting model to feature number 461, F485
## 2024-06-25 17:21:10.025304 INFO::Fitting model to feature number 462, F486
## 2024-06-25 17:21:10.026393 INFO::Fitting model to feature number 463, F487
## 2024-06-25 17:21:10.027522 INFO::Fitting model to feature number 464, F488
## 2024-06-25 17:21:10.028615 INFO::Fitting model to feature number 465, F489
## 2024-06-25 17:21:10.029764 INFO::Fitting model to feature number 466, F490
## 2024-06-25 17:21:10.030857 INFO::Fitting model to feature number 467, F491
## 2024-06-25 17:21:10.031977 INFO::Fitting model to feature number 468, F492
## 2024-06-25 17:21:10.033074 INFO::Fitting model to feature number 469, F493
## 2024-06-25 17:21:10.034183 INFO::Fitting model to feature number 470, F494
## 2024-06-25 17:21:10.03531 INFO::Fitting model to feature number 471, F495
## 2024-06-25 17:21:10.036463 INFO::Fitting model to feature number 472, F496
## 2024-06-25 17:21:10.037561 INFO::Fitting model to feature number 473, F497
## 2024-06-25 17:21:10.038656 INFO::Fitting model to feature number 474, F498
## 2024-06-25 17:21:10.039724 INFO::Fitting model to feature number 475, F499
## 2024-06-25 17:21:10.040836 INFO::Fitting model to feature number 476, F500
## 2024-06-25 17:21:10.041944 INFO::Fitting model to feature number 477, F501
## 2024-06-25 17:21:10.043085 INFO::Fitting model to feature number 478, F502
## 2024-06-25 17:21:10.044201 INFO::Fitting model to feature number 479, F503
## 2024-06-25 17:21:10.045297 INFO::Fitting model to feature number 480, F504
## 2024-06-25 17:21:10.046429 INFO::Fitting model to feature number 481, F505
## 2024-06-25 17:21:10.047578 INFO::Fitting model to feature number 482, F506
## 2024-06-25 17:21:10.048708 INFO::Fitting model to feature number 483, F507
## 2024-06-25 17:21:10.049843 INFO::Fitting model to feature number 484, F508
## 2024-06-25 17:21:10.050956 INFO::Fitting model to feature number 485, F509
## 2024-06-25 17:21:10.052079 INFO::Fitting model to feature number 486, F510
## 2024-06-25 17:21:10.053205 INFO::Fitting model to feature number 487, F511
## 2024-06-25 17:21:10.054344 INFO::Fitting model to feature number 488, F512
## 2024-06-25 17:21:10.055466 INFO::Fitting model to feature number 489, F513
## 2024-06-25 17:21:10.05657 INFO::Fitting model to feature number 490, F514
## 2024-06-25 17:21:10.057715 INFO::Fitting model to feature number 491, F515
## 2024-06-25 17:21:10.058824 INFO::Fitting model to feature number 492, F516
## 2024-06-25 17:21:10.059972 INFO::Fitting model to feature number 493, F517
## 2024-06-25 17:21:10.061117 INFO::Fitting model to feature number 494, F518
## 2024-06-25 17:21:10.062257 INFO::Fitting model to feature number 495, F519
## 2024-06-25 17:21:10.063407 INFO::Fitting model to feature number 496, F520
## 2024-06-25 17:21:10.064564 INFO::Fitting model to feature number 497, F521
## 2024-06-25 17:21:10.065732 INFO::Fitting model to feature number 498, F522
## 2024-06-25 17:21:10.066864 INFO::Fitting model to feature number 499, F523
## 2024-06-25 17:21:10.068003 INFO::Fitting model to feature number 500, F524
## 2024-06-25 17:21:10.069122 INFO::Fitting model to feature number 501, F525
## 2024-06-25 17:21:10.07034 INFO::Fitting model to feature number 502, F526
## 2024-06-25 17:21:10.071437 INFO::Fitting model to feature number 503, F527
## 2024-06-25 17:21:10.072573 INFO::Fitting model to feature number 504, F528
## 2024-06-25 17:21:10.073704 INFO::Fitting model to feature number 505, F529
## 2024-06-25 17:21:10.074848 INFO::Fitting model to feature number 506, F530
## 2024-06-25 17:21:10.075976 INFO::Fitting model to feature number 507, F531
## 2024-06-25 17:21:10.077111 INFO::Fitting model to feature number 508, F532
## 2024-06-25 17:21:10.07821 INFO::Fitting model to feature number 509, F533
## 2024-06-25 17:21:10.07934 INFO::Fitting model to feature number 510, F534
## 2024-06-25 17:21:10.080533 INFO::Fitting model to feature number 511, F535
## 2024-06-25 17:21:10.081726 INFO::Fitting model to feature number 512, F536
## 2024-06-25 17:21:10.082854 INFO::Fitting model to feature number 513, F537
## 2024-06-25 17:21:10.08399 INFO::Fitting model to feature number 514, F539
## 2024-06-25 17:21:10.085115 INFO::Fitting model to feature number 515, F540
## 2024-06-25 17:21:10.086265 INFO::Fitting model to feature number 516, F541
## 2024-06-25 17:21:10.087385 INFO::Fitting model to feature number 517, F543
## 2024-06-25 17:21:10.088527 INFO::Fitting model to feature number 518, F544
## 2024-06-25 17:21:10.089653 INFO::Fitting model to feature number 519, F545
## 2024-06-25 17:21:10.090751 INFO::Fitting model to feature number 520, F546
## 2024-06-25 17:21:10.09192 INFO::Fitting model to feature number 521, F547
## 2024-06-25 17:21:10.093028 INFO::Fitting model to feature number 522, F548
## 2024-06-25 17:21:10.09414 INFO::Fitting model to feature number 523, F549
## 2024-06-25 17:21:10.095266 INFO::Fitting model to feature number 524, F550
## 2024-06-25 17:21:10.096403 INFO::Fitting model to feature number 525, F551
## 2024-06-25 17:21:10.097527 INFO::Fitting model to feature number 526, F552
## 2024-06-25 17:21:10.098647 INFO::Fitting model to feature number 527, F553
## 2024-06-25 17:21:10.099744 INFO::Fitting model to feature number 528, F554
## 2024-06-25 17:21:10.100822 INFO::Fitting model to feature number 529, F555
## 2024-06-25 17:21:10.101918 INFO::Fitting model to feature number 530, F556
## 2024-06-25 17:21:10.103014 INFO::Fitting model to feature number 531, F557
## 2024-06-25 17:21:10.104135 INFO::Fitting model to feature number 532, F558
## 2024-06-25 17:21:10.10523 INFO::Fitting model to feature number 533, F559
## 2024-06-25 17:21:10.10633 INFO::Fitting model to feature number 534, F560
## 2024-06-25 17:21:10.107462 INFO::Fitting model to feature number 535, F561
## 2024-06-25 17:21:10.108604 INFO::Fitting model to feature number 536, F562
## 2024-06-25 17:21:10.109726 INFO::Fitting model to feature number 537, F563
## 2024-06-25 17:21:10.110857 INFO::Fitting model to feature number 538, F564
## 2024-06-25 17:21:10.112033 INFO::Fitting model to feature number 539, F566
## 2024-06-25 17:21:10.113148 INFO::Fitting model to feature number 540, F567
## 2024-06-25 17:21:10.114275 INFO::Fitting model to feature number 541, F568
## 2024-06-25 17:21:10.115395 INFO::Fitting model to feature number 542, F569
## 2024-06-25 17:21:10.11651 INFO::Fitting model to feature number 543, F570
## 2024-06-25 17:21:10.117626 INFO::Fitting model to feature number 544, F571
## 2024-06-25 17:21:10.118784 INFO::Fitting model to feature number 545, F572
## 2024-06-25 17:21:10.119919 INFO::Fitting model to feature number 546, F573
## 2024-06-25 17:21:10.121067 INFO::Fitting model to feature number 547, F574
## 2024-06-25 17:21:10.12219 INFO::Fitting model to feature number 548, F575
## 2024-06-25 17:21:10.12333 INFO::Fitting model to feature number 549, F576
## 2024-06-25 17:21:10.124477 INFO::Fitting model to feature number 550, F577
## 2024-06-25 17:21:10.125627 INFO::Fitting model to feature number 551, F578
## 2024-06-25 17:21:10.126736 INFO::Fitting model to feature number 552, F579
## 2024-06-25 17:21:10.127873 INFO::Fitting model to feature number 553, F580
## 2024-06-25 17:21:10.129 INFO::Fitting model to feature number 554, F581
## 2024-06-25 17:21:10.130148 INFO::Fitting model to feature number 555, F582
## 2024-06-25 17:21:10.132242 INFO::Fitting model to feature number 556, F583
## 2024-06-25 17:21:10.133489 INFO::Fitting model to feature number 557, F584
## 2024-06-25 17:21:10.134673 INFO::Fitting model to feature number 558, F585
## 2024-06-25 17:21:10.135842 INFO::Fitting model to feature number 559, F586
## 2024-06-25 17:21:10.136999 INFO::Fitting model to feature number 560, F587
## 2024-06-25 17:21:10.138184 INFO::Fitting model to feature number 561, F588
## 2024-06-25 17:21:10.139339 INFO::Fitting model to feature number 562, F589
## 2024-06-25 17:21:10.140514 INFO::Fitting model to feature number 563, F590
## 2024-06-25 17:21:10.141674 INFO::Fitting model to feature number 564, F591
## 2024-06-25 17:21:10.142811 INFO::Fitting model to feature number 565, F592
## 2024-06-25 17:21:10.144009 INFO::Fitting model to feature number 566, F593
## 2024-06-25 17:21:10.145148 INFO::Fitting model to feature number 567, F594
## 2024-06-25 17:21:10.146297 INFO::Fitting model to feature number 568, F595
## 2024-06-25 17:21:10.147416 INFO::Fitting model to feature number 569, F596
## 2024-06-25 17:21:10.148549 INFO::Fitting model to feature number 570, F597
## 2024-06-25 17:21:10.149666 INFO::Fitting model to feature number 571, F598
## 2024-06-25 17:21:10.150824 INFO::Fitting model to feature number 572, F599
## 2024-06-25 17:21:10.151951 INFO::Fitting model to feature number 573, F600
## 2024-06-25 17:21:10.153087 INFO::Fitting model to feature number 574, F601
## 2024-06-25 17:21:10.1542 INFO::Fitting model to feature number 575, F602
## 2024-06-25 17:21:10.15541 INFO::Fitting model to feature number 576, F603
## 2024-06-25 17:21:10.156555 INFO::Fitting model to feature number 577, F605
## 2024-06-25 17:21:10.157699 INFO::Fitting model to feature number 578, F606
## 2024-06-25 17:21:10.158824 INFO::Fitting model to feature number 579, F607
## 2024-06-25 17:21:10.159953 INFO::Fitting model to feature number 580, F608
## 2024-06-25 17:21:10.161111 INFO::Fitting model to feature number 581, F609
## 2024-06-25 17:21:10.162273 INFO::Fitting model to feature number 582, F610
## 2024-06-25 17:21:10.163435 INFO::Fitting model to feature number 583, F611
## 2024-06-25 17:21:10.164602 INFO::Fitting model to feature number 584, F612
## 2024-06-25 17:21:10.165735 INFO::Fitting model to feature number 585, F613
## 2024-06-25 17:21:10.166854 INFO::Fitting model to feature number 586, F614
## 2024-06-25 17:21:10.167958 INFO::Fitting model to feature number 587, F615
## 2024-06-25 17:21:10.169098 INFO::Fitting model to feature number 588, F616
## 2024-06-25 17:21:10.170216 INFO::Fitting model to feature number 589, F617
## 2024-06-25 17:21:10.17134 INFO::Fitting model to feature number 590, F618
## 2024-06-25 17:21:10.172501 INFO::Fitting model to feature number 591, F619
## 2024-06-25 17:21:10.173735 INFO::Fitting model to feature number 592, F620
## 2024-06-25 17:21:10.174912 INFO::Fitting model to feature number 593, F621
## 2024-06-25 17:21:10.176093 INFO::Fitting model to feature number 594, F622
## 2024-06-25 17:21:10.177227 INFO::Fitting model to feature number 595, F623
## 2024-06-25 17:21:10.17834 INFO::Fitting model to feature number 596, F624
## 2024-06-25 17:21:10.179461 INFO::Fitting model to feature number 597, F625
## 2024-06-25 17:21:10.180556 INFO::Fitting model to feature number 598, F626
## 2024-06-25 17:21:10.181684 INFO::Fitting model to feature number 599, F627
## 2024-06-25 17:21:10.182785 INFO::Fitting model to feature number 600, F628
## 2024-06-25 17:21:10.18388 INFO::Fitting model to feature number 601, F629
## 2024-06-25 17:21:10.184978 INFO::Fitting model to feature number 602, F630
## 2024-06-25 17:21:10.18609 INFO::Fitting model to feature number 603, F631
## 2024-06-25 17:21:10.187203 INFO::Fitting model to feature number 604, F632
## 2024-06-25 17:21:10.188341 INFO::Fitting model to feature number 605, F633
## 2024-06-25 17:21:10.18944 INFO::Fitting model to feature number 606, F634
## 2024-06-25 17:21:10.190555 INFO::Fitting model to feature number 607, F635
## 2024-06-25 17:21:10.191658 INFO::Fitting model to feature number 608, F636
## 2024-06-25 17:21:10.192778 INFO::Fitting model to feature number 609, F637
## 2024-06-25 17:21:10.193878 INFO::Fitting model to feature number 610, F638
## 2024-06-25 17:21:10.194988 INFO::Fitting model to feature number 611, F639
## 2024-06-25 17:21:10.196116 INFO::Fitting model to feature number 612, F640
## 2024-06-25 17:21:10.197248 INFO::Fitting model to feature number 613, F641
## 2024-06-25 17:21:10.19836 INFO::Fitting model to feature number 614, F642
## 2024-06-25 17:21:10.199497 INFO::Fitting model to feature number 615, F643
## 2024-06-25 17:21:10.200595 INFO::Fitting model to feature number 616, F644
## 2024-06-25 17:21:10.2017 INFO::Fitting model to feature number 617, F645
## 2024-06-25 17:21:10.202812 INFO::Fitting model to feature number 618, F646
## 2024-06-25 17:21:10.203931 INFO::Fitting model to feature number 619, F647
## 2024-06-25 17:21:10.205057 INFO::Fitting model to feature number 620, F648
## 2024-06-25 17:21:10.206144 INFO::Fitting model to feature number 621, F649
## 2024-06-25 17:21:10.207294 INFO::Fitting model to feature number 622, F650
## 2024-06-25 17:21:10.208448 INFO::Fitting model to feature number 623, F651
## 2024-06-25 17:21:10.209583 INFO::Fitting model to feature number 624, F652
## 2024-06-25 17:21:10.210781 INFO::Fitting model to feature number 625, F653
## 2024-06-25 17:21:10.211971 INFO::Fitting model to feature number 626, F654
## 2024-06-25 17:21:10.213189 INFO::Fitting model to feature number 627, F655
## 2024-06-25 17:21:10.214325 INFO::Fitting model to feature number 628, F656
## 2024-06-25 17:21:10.215468 INFO::Fitting model to feature number 629, F657
## 2024-06-25 17:21:10.21663 INFO::Fitting model to feature number 630, F658
## 2024-06-25 17:21:10.217721 INFO::Fitting model to feature number 631, F659
## 2024-06-25 17:21:10.218802 INFO::Fitting model to feature number 632, F660
## 2024-06-25 17:21:10.219902 INFO::Fitting model to feature number 633, F661
## 2024-06-25 17:21:10.221265 INFO::Fitting model to feature number 634, F662
## 2024-06-25 17:21:10.222396 INFO::Fitting model to feature number 635, F663
## 2024-06-25 17:21:10.223509 INFO::Fitting model to feature number 636, F664
## 2024-06-25 17:21:10.224631 INFO::Fitting model to feature number 637, F665
## 2024-06-25 17:21:10.225717 INFO::Fitting model to feature number 638, F666
## 2024-06-25 17:21:10.226807 INFO::Fitting model to feature number 639, F667
## 2024-06-25 17:21:10.227894 INFO::Fitting model to feature number 640, F668
## 2024-06-25 17:21:10.228974 INFO::Fitting model to feature number 641, F669
## 2024-06-25 17:21:10.230103 INFO::Fitting model to feature number 642, F670
## 2024-06-25 17:21:10.231218 INFO::Fitting model to feature number 643, F671
## 2024-06-25 17:21:10.232353 INFO::Fitting model to feature number 644, F672
## 2024-06-25 17:21:10.233483 INFO::Fitting model to feature number 645, F673
## 2024-06-25 17:21:10.234587 INFO::Fitting model to feature number 646, F674
## 2024-06-25 17:21:10.235676 INFO::Fitting model to feature number 647, F675
## 2024-06-25 17:21:10.236774 INFO::Fitting model to feature number 648, F676
## 2024-06-25 17:21:10.237861 INFO::Fitting model to feature number 649, F677
## 2024-06-25 17:21:10.238975 INFO::Fitting model to feature number 650, F678
## 2024-06-25 17:21:10.240071 INFO::Fitting model to feature number 651, F679
## 2024-06-25 17:21:10.241167 INFO::Fitting model to feature number 652, F680
## 2024-06-25 17:21:10.242282 INFO::Fitting model to feature number 653, F681
## 2024-06-25 17:21:10.24343 INFO::Fitting model to feature number 654, F682
## 2024-06-25 17:21:10.244593 INFO::Fitting model to feature number 655, F683
## 2024-06-25 17:21:10.245742 INFO::Fitting model to feature number 656, F684
## 2024-06-25 17:21:10.24685 INFO::Fitting model to feature number 657, F685
## 2024-06-25 17:21:10.24798 INFO::Fitting model to feature number 658, F686
## 2024-06-25 17:21:10.249087 INFO::Fitting model to feature number 659, F687
## 2024-06-25 17:21:10.250205 INFO::Fitting model to feature number 660, F688
## 2024-06-25 17:21:10.251318 INFO::Fitting model to feature number 661, F689
## 2024-06-25 17:21:10.252427 INFO::Fitting model to feature number 662, F690
## 2024-06-25 17:21:10.253529 INFO::Fitting model to feature number 663, F691
## 2024-06-25 17:21:10.254643 INFO::Fitting model to feature number 664, F692
## 2024-06-25 17:21:10.255758 INFO::Fitting model to feature number 665, F693
## 2024-06-25 17:21:10.256899 INFO::Fitting model to feature number 666, F694
## 2024-06-25 17:21:10.257999 INFO::Fitting model to feature number 667, F695
## 2024-06-25 17:21:10.259095 INFO::Fitting model to feature number 668, F696
## 2024-06-25 17:21:10.260195 INFO::Fitting model to feature number 669, F697
## 2024-06-25 17:21:10.261317 INFO::Fitting model to feature number 670, F698
## 2024-06-25 17:21:10.262442 INFO::Fitting model to feature number 671, F699
## 2024-06-25 17:21:10.26356 INFO::Fitting model to feature number 672, F700
## 2024-06-25 17:21:10.264677 INFO::Fitting model to feature number 673, F701
## 2024-06-25 17:21:10.265806 INFO::Fitting model to feature number 674, F702
## 2024-06-25 17:21:10.266923 INFO::Fitting model to feature number 675, F704
## 2024-06-25 17:21:10.268018 INFO::Fitting model to feature number 676, F705
## 2024-06-25 17:21:10.269104 INFO::Fitting model to feature number 677, F706
## 2024-06-25 17:21:10.270201 INFO::Fitting model to feature number 678, F707
## 2024-06-25 17:21:10.271285 INFO::Fitting model to feature number 679, F708
## 2024-06-25 17:21:10.272413 INFO::Fitting model to feature number 680, F709
## 2024-06-25 17:21:10.27353 INFO::Fitting model to feature number 681, F710
## 2024-06-25 17:21:10.274673 INFO::Fitting model to feature number 682, F711
## 2024-06-25 17:21:10.275785 INFO::Fitting model to feature number 683, F712
## 2024-06-25 17:21:10.276887 INFO::Fitting model to feature number 684, F713
## 2024-06-25 17:21:10.278054 INFO::Fitting model to feature number 685, F714
## 2024-06-25 17:21:10.279152 INFO::Fitting model to feature number 686, F715
## 2024-06-25 17:21:10.28026 INFO::Fitting model to feature number 687, F716
## 2024-06-25 17:21:10.281343 INFO::Fitting model to feature number 688, F717
## 2024-06-25 17:21:10.282454 INFO::Fitting model to feature number 689, F718
## 2024-06-25 17:21:10.283555 INFO::Fitting model to feature number 690, F719
## 2024-06-25 17:21:10.284668 INFO::Fitting model to feature number 691, F720
## 2024-06-25 17:21:10.285777 INFO::Fitting model to feature number 692, F721
## 2024-06-25 17:21:10.28689 INFO::Fitting model to feature number 693, F722
## 2024-06-25 17:21:10.287996 INFO::Fitting model to feature number 694, F723
## 2024-06-25 17:21:10.289105 INFO::Fitting model to feature number 695, F724
## 2024-06-25 17:21:10.303512 INFO::Fitting model to feature number 696, F725
## 2024-06-25 17:21:10.305381 INFO::Fitting model to feature number 697, F726
## 2024-06-25 17:21:10.306567 INFO::Fitting model to feature number 698, F727
## 2024-06-25 17:21:10.307693 INFO::Fitting model to feature number 699, F728
## 2024-06-25 17:21:10.30883 INFO::Fitting model to feature number 700, F729
## 2024-06-25 17:21:10.309924 INFO::Fitting model to feature number 701, F730
## 2024-06-25 17:21:10.31101 INFO::Fitting model to feature number 702, F731
## 2024-06-25 17:21:10.312082 INFO::Fitting model to feature number 703, F732
## 2024-06-25 17:21:10.313185 INFO::Fitting model to feature number 704, F733
## 2024-06-25 17:21:10.314246 INFO::Fitting model to feature number 705, F734
## 2024-06-25 17:21:10.315351 INFO::Fitting model to feature number 706, F735
## 2024-06-25 17:21:10.316465 INFO::Fitting model to feature number 707, F736
## 2024-06-25 17:21:10.317588 INFO::Fitting model to feature number 708, F737
## 2024-06-25 17:21:10.318721 INFO::Fitting model to feature number 709, F739
## 2024-06-25 17:21:10.319829 INFO::Fitting model to feature number 710, F740
## 2024-06-25 17:21:10.320885 INFO::Fitting model to feature number 711, F741
## 2024-06-25 17:21:10.321959 INFO::Fitting model to feature number 712, F742
## 2024-06-25 17:21:10.323031 INFO::Fitting model to feature number 713, F743
## 2024-06-25 17:21:10.324111 INFO::Fitting model to feature number 714, F744
## 2024-06-25 17:21:10.32519 INFO::Fitting model to feature number 715, F745
## 2024-06-25 17:21:10.326296 INFO::Fitting model to feature number 716, F746
## 2024-06-25 17:21:10.32739 INFO::Fitting model to feature number 717, F747
## 2024-06-25 17:21:10.328488 INFO::Fitting model to feature number 718, F748
## 2024-06-25 17:21:10.329571 INFO::Fitting model to feature number 719, F749
## 2024-06-25 17:21:10.330677 INFO::Fitting model to feature number 720, F750
## 2024-06-25 17:21:10.331745 INFO::Fitting model to feature number 721, F751
## 2024-06-25 17:21:10.33283 INFO::Fitting model to feature number 722, F752
## 2024-06-25 17:21:10.333886 INFO::Fitting model to feature number 723, F753
## 2024-06-25 17:21:10.334977 INFO::Fitting model to feature number 724, F754
## 2024-06-25 17:21:10.336069 INFO::Fitting model to feature number 725, F755
## 2024-06-25 17:21:10.337157 INFO::Fitting model to feature number 726, F756
## 2024-06-25 17:21:10.338252 INFO::Fitting model to feature number 727, F757
## 2024-06-25 17:21:10.339355 INFO::Fitting model to feature number 728, F758
## 2024-06-25 17:21:10.340461 INFO::Fitting model to feature number 729, F759
## 2024-06-25 17:21:10.341579 INFO::Fitting model to feature number 730, F760
## 2024-06-25 17:21:10.342685 INFO::Fitting model to feature number 731, F761
## 2024-06-25 17:21:10.343802 INFO::Fitting model to feature number 732, F762
## 2024-06-25 17:21:10.344904 INFO::Fitting model to feature number 733, F763
## 2024-06-25 17:21:10.346031 INFO::Fitting model to feature number 734, F764
## 2024-06-25 17:21:10.347123 INFO::Fitting model to feature number 735, F765
## 2024-06-25 17:21:10.348247 INFO::Fitting model to feature number 736, F766
## 2024-06-25 17:21:10.349362 INFO::Fitting model to feature number 737, F767
## 2024-06-25 17:21:10.350524 INFO::Fitting model to feature number 738, F768
## 2024-06-25 17:21:10.351622 INFO::Fitting model to feature number 739, F769
## 2024-06-25 17:21:10.352753 INFO::Fitting model to feature number 740, F770
## 2024-06-25 17:21:10.353848 INFO::Fitting model to feature number 741, F771
## 2024-06-25 17:21:10.354961 INFO::Fitting model to feature number 742, F772
## 2024-06-25 17:21:10.356038 INFO::Fitting model to feature number 743, F773
## 2024-06-25 17:21:10.357139 INFO::Fitting model to feature number 744, F774
## 2024-06-25 17:21:10.358258 INFO::Fitting model to feature number 745, F775
## 2024-06-25 17:21:10.359383 INFO::Fitting model to feature number 746, F776
## 2024-06-25 17:21:10.360522 INFO::Fitting model to feature number 747, F777
## 2024-06-25 17:21:10.361624 INFO::Fitting model to feature number 748, F778
## 2024-06-25 17:21:10.362724 INFO::Fitting model to feature number 749, F779
## 2024-06-25 17:21:10.363811 INFO::Fitting model to feature number 750, F780
## 2024-06-25 17:21:10.36492 INFO::Fitting model to feature number 751, F781
## 2024-06-25 17:21:10.366005 INFO::Fitting model to feature number 752, F782
## 2024-06-25 17:21:10.367095 INFO::Fitting model to feature number 753, F783
## 2024-06-25 17:21:10.368197 INFO::Fitting model to feature number 754, F784
## 2024-06-25 17:21:10.369307 INFO::Fitting model to feature number 755, F785
## 2024-06-25 17:21:10.370393 INFO::Fitting model to feature number 756, F786
## 2024-06-25 17:21:10.371477 INFO::Fitting model to feature number 757, F787
## 2024-06-25 17:21:10.372565 INFO::Fitting model to feature number 758, F788
## 2024-06-25 17:21:10.37365 INFO::Fitting model to feature number 759, F789
## 2024-06-25 17:21:10.374717 INFO::Fitting model to feature number 760, F790
## 2024-06-25 17:21:10.375804 INFO::Fitting model to feature number 761, F791
## 2024-06-25 17:21:10.376937 INFO::Fitting model to feature number 762, F792
## 2024-06-25 17:21:10.378075 INFO::Fitting model to feature number 763, F793
## 2024-06-25 17:21:10.379188 INFO::Fitting model to feature number 764, F794
## 2024-06-25 17:21:10.380323 INFO::Fitting model to feature number 765, F795
## 2024-06-25 17:21:10.381434 INFO::Fitting model to feature number 766, F796
## 2024-06-25 17:21:10.382524 INFO::Fitting model to feature number 767, F797
## 2024-06-25 17:21:10.383604 INFO::Fitting model to feature number 768, F798
## 2024-06-25 17:21:10.384687 INFO::Fitting model to feature number 769, F799
## 2024-06-25 17:21:10.385755 INFO::Fitting model to feature number 770, F800
## 2024-06-25 17:21:10.38687 INFO::Fitting model to feature number 771, F801
## 2024-06-25 17:21:10.38796 INFO::Fitting model to feature number 772, F802
## 2024-06-25 17:21:10.389053 INFO::Fitting model to feature number 773, F803
## 2024-06-25 17:21:10.390142 INFO::Fitting model to feature number 774, F804
## 2024-06-25 17:21:10.391299 INFO::Fitting model to feature number 775, F805
## 2024-06-25 17:21:10.392411 INFO::Fitting model to feature number 776, F806
## 2024-06-25 17:21:10.393552 INFO::Fitting model to feature number 777, F808
## 2024-06-25 17:21:10.394638 INFO::Fitting model to feature number 778, F809
## 2024-06-25 17:21:10.395729 INFO::Fitting model to feature number 779, F810
## 2024-06-25 17:21:10.396809 INFO::Fitting model to feature number 780, F811
## 2024-06-25 17:21:10.397919 INFO::Fitting model to feature number 781, F812
## 2024-06-25 17:21:10.399064 INFO::Fitting model to feature number 782, F813
## 2024-06-25 17:21:10.400389 INFO::Fitting model to feature number 783, F814
## 2024-06-25 17:21:10.401516 INFO::Fitting model to feature number 784, F815
## 2024-06-25 17:21:10.402662 INFO::Fitting model to feature number 785, F816
## 2024-06-25 17:21:10.403834 INFO::Fitting model to feature number 786, F817
## 2024-06-25 17:21:10.404943 INFO::Fitting model to feature number 787, F818
## 2024-06-25 17:21:10.406232 INFO::Fitting model to feature number 788, F819
## 2024-06-25 17:21:10.407445 INFO::Fitting model to feature number 789, F820
## 2024-06-25 17:21:10.408572 INFO::Fitting model to feature number 790, F821
## 2024-06-25 17:21:10.409722 INFO::Fitting model to feature number 791, F822
## 2024-06-25 17:21:10.410903 INFO::Fitting model to feature number 792, F823
## 2024-06-25 17:21:10.412057 INFO::Fitting model to feature number 793, F824
## 2024-06-25 17:21:10.413209 INFO::Fitting model to feature number 794, F825
## 2024-06-25 17:21:10.414402 INFO::Fitting model to feature number 795, F826
## 2024-06-25 17:21:10.415559 INFO::Fitting model to feature number 796, F827
## 2024-06-25 17:21:10.41671 INFO::Fitting model to feature number 797, F828
## 2024-06-25 17:21:10.4179 INFO::Fitting model to feature number 798, F829
## 2024-06-25 17:21:10.419052 INFO::Fitting model to feature number 799, F830
## 2024-06-25 17:21:10.42018 INFO::Fitting model to feature number 800, F831
## 2024-06-25 17:21:10.421291 INFO::Fitting model to feature number 801, F832
## 2024-06-25 17:21:10.422396 INFO::Fitting model to feature number 802, F833
## 2024-06-25 17:21:10.423494 INFO::Fitting model to feature number 803, F834
## 2024-06-25 17:21:10.424636 INFO::Fitting model to feature number 804, F835
## 2024-06-25 17:21:10.425756 INFO::Fitting model to feature number 805, F836
## 2024-06-25 17:21:10.426875 INFO::Fitting model to feature number 806, F837
## 2024-06-25 17:21:10.427998 INFO::Fitting model to feature number 807, F838
## 2024-06-25 17:21:10.429114 INFO::Fitting model to feature number 808, F839
## 2024-06-25 17:21:10.430245 INFO::Fitting model to feature number 809, F840
## 2024-06-25 17:21:10.43136 INFO::Fitting model to feature number 810, F841
## 2024-06-25 17:21:10.432463 INFO::Fitting model to feature number 811, F842
## 2024-06-25 17:21:10.433616 INFO::Fitting model to feature number 812, F843
## 2024-06-25 17:21:10.434761 INFO::Fitting model to feature number 813, F844
## 2024-06-25 17:21:10.43592 INFO::Fitting model to feature number 814, F845
## 2024-06-25 17:21:10.437028 INFO::Fitting model to feature number 815, F846
## 2024-06-25 17:21:10.438174 INFO::Fitting model to feature number 816, F847
## 2024-06-25 17:21:10.439361 INFO::Fitting model to feature number 817, F848
## 2024-06-25 17:21:10.44049 INFO::Fitting model to feature number 818, F849
## 2024-06-25 17:21:10.44158 INFO::Fitting model to feature number 819, F850
## 2024-06-25 17:21:10.442675 INFO::Fitting model to feature number 820, F851
## 2024-06-25 17:21:10.443775 INFO::Fitting model to feature number 821, F852
## 2024-06-25 17:21:10.444879 INFO::Fitting model to feature number 822, F853
## 2024-06-25 17:21:10.445988 INFO::Fitting model to feature number 823, F854
## 2024-06-25 17:21:10.44711 INFO::Fitting model to feature number 824, F855
## 2024-06-25 17:21:10.448234 INFO::Fitting model to feature number 825, F856
## 2024-06-25 17:21:10.449391 INFO::Fitting model to feature number 826, F857
## 2024-06-25 17:21:10.450524 INFO::Fitting model to feature number 827, F858
## 2024-06-25 17:21:10.451654 INFO::Fitting model to feature number 828, F859
## 2024-06-25 17:21:10.452775 INFO::Fitting model to feature number 829, F860
## 2024-06-25 17:21:10.453877 INFO::Fitting model to feature number 830, F861
## 2024-06-25 17:21:10.455006 INFO::Fitting model to feature number 831, F862
## 2024-06-25 17:21:10.456134 INFO::Fitting model to feature number 832, F863
## 2024-06-25 17:21:10.457252 INFO::Fitting model to feature number 833, F864
## 2024-06-25 17:21:10.458384 INFO::Fitting model to feature number 834, F865
## 2024-06-25 17:21:10.459533 INFO::Fitting model to feature number 835, F866
## 2024-06-25 17:21:10.460671 INFO::Fitting model to feature number 836, F867
## 2024-06-25 17:21:10.461796 INFO::Fitting model to feature number 837, F868
## 2024-06-25 17:21:10.462895 INFO::Fitting model to feature number 838, F869
## 2024-06-25 17:21:10.46405 INFO::Fitting model to feature number 839, F870
## 2024-06-25 17:21:10.465211 INFO::Fitting model to feature number 840, F871
## 2024-06-25 17:21:10.46637 INFO::Fitting model to feature number 841, F872
## 2024-06-25 17:21:10.467539 INFO::Fitting model to feature number 842, F873
## 2024-06-25 17:21:10.468687 INFO::Fitting model to feature number 843, F874
## 2024-06-25 17:21:10.469892 INFO::Fitting model to feature number 844, F875
## 2024-06-25 17:21:10.471076 INFO::Fitting model to feature number 845, F876
## 2024-06-25 17:21:10.472226 INFO::Fitting model to feature number 846, F877
## 2024-06-25 17:21:10.473367 INFO::Fitting model to feature number 847, F878
## 2024-06-25 17:21:10.474514 INFO::Fitting model to feature number 848, F879
## 2024-06-25 17:21:10.475705 INFO::Fitting model to feature number 849, F880
## 2024-06-25 17:21:10.476835 INFO::Fitting model to feature number 850, F881
## 2024-06-25 17:21:10.477953 INFO::Fitting model to feature number 851, F882
## 2024-06-25 17:21:10.479075 INFO::Fitting model to feature number 852, F883
## 2024-06-25 17:21:10.480183 INFO::Fitting model to feature number 853, F884
## 2024-06-25 17:21:10.48128 INFO::Fitting model to feature number 854, F885
## 2024-06-25 17:21:10.482375 INFO::Fitting model to feature number 855, F886
## 2024-06-25 17:21:10.483479 INFO::Fitting model to feature number 856, F887
## 2024-06-25 17:21:10.484581 INFO::Fitting model to feature number 857, F888
## 2024-06-25 17:21:10.485718 INFO::Fitting model to feature number 858, F889
## 2024-06-25 17:21:10.486822 INFO::Fitting model to feature number 859, F890
## 2024-06-25 17:21:10.487934 INFO::Fitting model to feature number 860, F891
## 2024-06-25 17:21:10.489054 INFO::Fitting model to feature number 861, F892
## 2024-06-25 17:21:10.490166 INFO::Fitting model to feature number 862, F893
## 2024-06-25 17:21:10.491299 INFO::Fitting model to feature number 863, F894
## 2024-06-25 17:21:10.492428 INFO::Fitting model to feature number 864, F895
## 2024-06-25 17:21:10.493564 INFO::Fitting model to feature number 865, F896
## 2024-06-25 17:21:10.494722 INFO::Fitting model to feature number 866, F897
## 2024-06-25 17:21:10.495848 INFO::Fitting model to feature number 867, F898
## 2024-06-25 17:21:10.496973 INFO::Fitting model to feature number 868, F899
## 2024-06-25 17:21:10.498131 INFO::Fitting model to feature number 869, F900
## 2024-06-25 17:21:10.556426 INFO::Counting total values for each feature
## 2024-06-25 17:21:10.60231 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2024-06-25 17:21:10.648224 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2024-06-25 17:21:10.695255 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2024-06-25 17:21:10.741946 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2024-06-25 17:21:10.765525 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2024-06-25 17:21:10.784863 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2024-06-25 17:21:10.793808 INFO::Writing the significant results (those which are less than or equal to the threshold of 0.250000 ) to file (ordered by increasing q-values): Macarron_output/maaslin2_results/significant_results.tsv
## 2024-06-25 17:21:10.797759 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2024-06-25 17:21:10.805005 INFO::Plotting associations from most to least significant, grouped by metadata
## 2024-06-25 17:21:10.805489 INFO::Plotting data for metadata number 1, diagnosis
## 2024-06-25 17:21:10.834523 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2024-06-25 17:21:10.942199 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2024-06-25 17:21:11.00414 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2024-06-25 17:21:11.057415 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2024-06-25 17:21:11.111073 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2024-06-25 17:21:11.173393 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2024-06-25 17:21:11.226951 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2024-06-25 17:21:11.279516 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2024-06-25 17:21:11.334236 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2024-06-25 17:21:11.387588 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2024-06-25 17:21:11.440834 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2024-06-25 17:21:11.54023 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2024-06-25 17:21:11.590349 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2024-06-25 17:21:11.640012 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2024-06-25 17:21:11.693031 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2024-06-25 17:21:11.744297 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2024-06-25 17:21:11.800476 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2024-06-25 17:21:11.84712 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2024-06-25 17:21:11.893843 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2024-06-25 17:21:11.941327 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2024-06-25 17:21:11.988506 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2024-06-25 17:21:12.035418 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2024-06-25 17:21:12.088672 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2024-06-25 17:21:12.136444 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2024-06-25 17:21:12.185267 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2024-06-25 17:21:12.233634 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2024-06-25 17:21:12.282023 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2024-06-25 17:21:12.336592 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2024-06-25 17:21:12.384557 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2024-06-25 17:21:12.432549 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2024-06-25 17:21:12.482408 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2024-06-25 17:21:12.531212 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2024-06-25 17:21:12.581689 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2024-06-25 17:21:12.640132 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2024-06-25 17:21:12.690239 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2024-06-25 17:21:12.74075 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2024-06-25 17:21:12.787573 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2024-06-25 17:21:12.832804 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2024-06-25 17:21:12.884853 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2024-06-25 17:21:12.931156 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2024-06-25 17:21:12.979445 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2024-06-25 17:21:13.025825 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2024-06-25 17:21:13.071902 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2024-06-25 17:21:13.126293 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2024-06-25 17:21:13.175383 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2024-06-25 17:21:13.224399 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2024-06-25 17:21:13.273906 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2024-06-25 17:21:13.323493 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2024-06-25 17:21:13.373569 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2024-06-25 17:21:13.428811 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2024-06-25 17:21:13.478338 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2024-06-25 17:21:13.529339 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2024-06-25 17:21:13.581221 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2024-06-25 17:21:13.631289 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2024-06-25 17:21:13.684532 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2024-06-25 17:21:13.73139 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2024-06-25 17:21:13.778778 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2024-06-25 17:21:13.826384 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2024-06-25 17:21:13.87477 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2024-06-25 17:21:13.924084 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2024-06-25 17:21:13.979464 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2024-06-25 17:21:14.028442 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2024-06-25 17:21:14.075297 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2024-06-25 17:21:14.121414 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2024-06-25 17:21:14.167884 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2024-06-25 17:21:14.225427 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2024-06-25 17:21:14.271756 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2024-06-25 17:21:14.319534 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2024-06-25 17:21:14.374015 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2024-06-25 17:21:14.4236 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2024-06-25 17:21:14.477027 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2024-06-25 17:21:14.524347 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2024-06-25 17:21:14.569841 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2024-06-25 17:21:14.618242 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2024-06-25 17:21:14.667233 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2024-06-25 17:21:14.722825 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2024-06-25 17:21:14.77277 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2024-06-25 17:21:14.822884 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2024-06-25 17:21:14.871068 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2024-06-25 17:21:14.919154 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2024-06-25 17:21:14.967309 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2024-06-25 17:21:15.021338 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2024-06-25 17:21:15.069074 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2024-06-25 17:21:15.119367 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2024-06-25 17:21:15.174305 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2024-06-25 17:21:15.228927 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2024-06-25 17:21:15.290032 INFO::Creating boxplot for categorical data, diagnosis vs F1
## 2024-06-25 17:21:15.342932 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2024-06-25 17:21:15.39727 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2024-06-25 17:21:15.450465 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2024-06-25 17:21:15.504373 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2024-06-25 17:21:15.563333 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2024-06-25 17:21:15.615874 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2024-06-25 17:21:15.673116 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2024-06-25 17:21:15.731128 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2024-06-25 17:21:15.786081 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2024-06-25 17:21:15.843679 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2024-06-25 17:21:15.903758 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2024-06-25 17:21:15.957933 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2024-06-25 17:21:16.012181 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2024-06-25 17:21:16.066497 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2024-06-25 17:21:16.120525 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2024-06-25 17:21:16.181287 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2024-06-25 17:21:16.235375 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2024-06-25 17:21:16.289273 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2024-06-25 17:21:16.342138 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2024-06-25 17:21:16.396291 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2024-06-25 17:21:16.457123 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2024-06-25 17:21:16.510262 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2024-06-25 17:21:16.564398 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2024-06-25 17:21:16.619285 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2024-06-25 17:21:16.672649 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2024-06-25 17:21:16.731599 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2024-06-25 17:21:16.783739 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2024-06-25 17:21:16.837306 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2024-06-25 17:21:16.89178 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2024-06-25 17:21:16.948422 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2024-06-25 17:21:17.002762 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2024-06-25 17:21:17.061259 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2024-06-25 17:21:17.11382 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2024-06-25 17:21:17.167144 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2024-06-25 17:21:17.220778 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2024-06-25 17:21:17.274566 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2024-06-25 17:21:17.35725 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2024-06-25 17:21:17.410998 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2024-06-25 17:21:17.463407 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2024-06-25 17:21:17.51704 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2024-06-25 17:21:17.569742 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2024-06-25 17:21:17.635182 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2024-06-25 17:21:17.689715 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2024-06-25 17:21:17.7435 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2024-06-25 17:21:17.79953 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2024-06-25 17:21:17.855072 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2024-06-25 17:21:17.910047 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2024-06-25 17:21:17.974724 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2024-06-25 17:21:18.027493 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2024-06-25 17:21:18.077604 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2024-06-25 17:21:18.127319 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2024-06-25 17:21:18.178352 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2024-06-25 17:21:18.239326 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2024-06-25 17:21:18.288858 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2024-06-25 17:21:18.338541 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2024-06-25 17:21:18.387316 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2024-06-25 17:21:18.433679 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2024-06-25 17:21:18.493904 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2024-06-25 17:21:18.546957 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2024-06-25 17:21:18.598217 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2024-06-25 17:21:18.647872 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2024-06-25 17:21:18.696792 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2024-06-25 17:21:18.746377 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2024-06-25 17:21:18.805099 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2024-06-25 17:21:18.852296 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2024-06-25 17:21:18.897986 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2024-06-25 17:21:18.944389 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2024-06-25 17:21:18.992301 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2024-06-25 17:21:19.051168 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2024-06-25 17:21:19.101982 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2024-06-25 17:21:19.155079 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2024-06-25 17:21:19.204646 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2024-06-25 17:21:19.253033 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2024-06-25 17:21:19.306499 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2024-06-25 17:21:19.360037 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2024-06-25 17:21:19.408608 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2024-06-25 17:21:19.45596 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2024-06-25 17:21:19.507463 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2024-06-25 17:21:19.559574 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2024-06-25 17:21:19.61627 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2024-06-25 17:21:19.66412 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2024-06-25 17:21:19.712771 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2024-06-25 17:21:19.759519 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2024-06-25 17:21:19.805685 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2024-06-25 17:21:19.863053 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2024-06-25 17:21:19.912959 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2024-06-25 17:21:19.964366 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2024-06-25 17:21:20.017567 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2024-06-25 17:21:20.065766 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2024-06-25 17:21:20.121009 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2024-06-25 17:21:20.181385 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2024-06-25 17:21:20.236921 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2024-06-25 17:21:20.293179 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2024-06-25 17:21:20.352327 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2024-06-25 17:21:20.399815 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2024-06-25 17:21:20.455822 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2024-06-25 17:21:20.506841 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2024-06-25 17:21:20.559597 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2024-06-25 17:21:20.613012 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2024-06-25 17:21:20.667347 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2024-06-25 17:21:20.733475 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2024-06-25 17:21:20.788758 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2024-06-25 17:21:20.843332 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2024-06-25 17:21:20.897833 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2024-06-25 17:21:20.952294 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2024-06-25 17:21:21.018094 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2024-06-25 17:21:21.073952 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2024-06-25 17:21:21.129871 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2024-06-25 17:21:21.186599 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2024-06-25 17:21:21.243447 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2024-06-25 17:21:21.301049 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2024-06-25 17:21:21.369293 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2024-06-25 17:21:21.423152 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2024-06-25 17:21:21.477356 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2024-06-25 17:21:21.531963 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2024-06-25 17:21:21.586662 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2024-06-25 17:21:21.653184 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2024-06-25 17:21:21.707814 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2024-06-25 17:21:21.762871 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2024-06-25 17:21:21.816151 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2024-06-25 17:21:21.870107 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2024-06-25 17:21:21.942228 INFO::Creating boxplot for categorical data, diagnosis vs F416
## 2024-06-25 17:21:21.999866 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2024-06-25 17:21:22.056368 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2024-06-25 17:21:22.110435 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2024-06-25 17:21:22.164189 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2024-06-25 17:21:22.230534 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2024-06-25 17:21:22.287317 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2024-06-25 17:21:22.341606 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2024-06-25 17:21:22.396201 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2024-06-25 17:21:22.449867 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2024-06-25 17:21:22.513571 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2024-06-25 17:21:22.571608 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2024-06-25 17:21:22.624873 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2024-06-25 17:21:22.678738 INFO::Creating boxplot for categorical data, diagnosis vs F846
## 2024-06-25 17:21:22.732698 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2024-06-25 17:21:22.788388 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2024-06-25 17:21:22.855354 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2024-06-25 17:21:22.909373 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2024-06-25 17:21:22.964691 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2024-06-25 17:21:23.018626 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2024-06-25 17:21:23.073083 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2024-06-25 17:21:23.140133 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2024-06-25 17:21:23.193504 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2024-06-25 17:21:23.248405 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2024-06-25 17:21:23.303566 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2024-06-25 17:21:23.358759 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2024-06-25 17:21:23.769102 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2024-06-25 17:21:23.817248 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2024-06-25 17:21:23.868941 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2024-06-25 17:21:23.92612 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2024-06-25 17:21:23.986629 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2024-06-25 17:21:24.052251 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2024-06-25 17:21:24.10455 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2024-06-25 17:21:24.158601 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2024-06-25 17:21:24.213059 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2024-06-25 17:21:24.266546 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2024-06-25 17:21:24.320563 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2024-06-25 17:21:24.378499 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2024-06-25 17:21:24.430888 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2024-06-25 17:21:24.484234 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2024-06-25 17:21:24.537749 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2024-06-25 17:21:24.591862 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2024-06-25 17:21:24.649606 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2024-06-25 17:21:24.703287 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2024-06-25 17:21:24.756225 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2024-06-25 17:21:24.807924 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2024-06-25 17:21:24.861553 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2024-06-25 17:21:24.915614 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2024-06-25 17:21:24.974064 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2024-06-25 17:21:25.027001 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2024-06-25 17:21:25.081811 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2024-06-25 17:21:25.135307 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2024-06-25 17:21:25.190613 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2024-06-25 17:21:25.251342 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2024-06-25 17:21:25.306665 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2024-06-25 17:21:25.360398 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2024-06-25 17:21:25.413955 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2024-06-25 17:21:25.469631 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2024-06-25 17:21:25.524224 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2024-06-25 17:21:25.576465 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2024-06-25 17:21:25.62463 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2024-06-25 17:21:25.673343 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2024-06-25 17:21:25.721611 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2024-06-25 17:21:25.769395 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2024-06-25 17:21:25.823009 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2024-06-25 17:21:25.869575 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2024-06-25 17:21:25.914439 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2024-06-25 17:21:25.96003 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2024-06-25 17:21:26.005108 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2024-06-25 17:21:26.054971 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2024-06-25 17:21:26.099694 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2024-06-25 17:21:26.145544 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2024-06-25 17:21:26.196437 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2024-06-25 17:21:26.246703 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2024-06-25 17:21:26.296493 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2024-06-25 17:21:26.355058 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2024-06-25 17:21:26.408066 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2024-06-25 17:21:26.461952 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2024-06-25 17:21:26.514562 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2024-06-25 17:21:26.567779 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2024-06-25 17:21:26.626085 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2024-06-25 17:21:26.678132 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2024-06-25 17:21:26.730557 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2024-06-25 17:21:26.783979 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2024-06-25 17:21:26.836859 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2024-06-25 17:21:26.893553 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2024-06-25 17:21:26.945568 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2024-06-25 17:21:26.998109 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2024-06-25 17:21:27.049629 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2024-06-25 17:21:27.099344 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2024-06-25 17:21:27.150501 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2024-06-25 17:21:27.209259 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2024-06-25 17:21:27.261929 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2024-06-25 17:21:27.311111 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2024-06-25 17:21:27.36236 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2024-06-25 17:21:27.412598 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2024-06-25 17:21:27.466545 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2024-06-25 17:21:27.515106 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2024-06-25 17:21:27.564696 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2024-06-25 17:21:27.613648 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2024-06-25 17:21:27.664005 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2024-06-25 17:21:27.719958 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2024-06-25 17:21:27.771482 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2024-06-25 17:21:27.82377 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2024-06-25 17:21:27.875427 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2024-06-25 17:21:27.925446 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2024-06-25 17:21:27.978252 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2024-06-25 17:21:28.035069 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2024-06-25 17:21:28.085283 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2024-06-25 17:21:28.135707 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2024-06-25 17:21:28.184464 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2024-06-25 17:21:28.233245 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2024-06-25 17:21:28.287777 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2024-06-25 17:21:28.337814 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2024-06-25 17:21:28.389828 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2024-06-25 17:21:28.439692 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2024-06-25 17:21:28.489106 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2024-06-25 17:21:28.545528 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2024-06-25 17:21:28.597586 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2024-06-25 17:21:28.649312 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2024-06-25 17:21:28.701429 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2024-06-25 17:21:28.755138 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2024-06-25 17:21:28.813822 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2024-06-25 17:21:28.866511 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2024-06-25 17:21:28.915433 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2024-06-25 17:21:28.964759 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2024-06-25 17:21:29.017593 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2024-06-25 17:21:29.070381 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2024-06-25 17:21:29.126255 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2024-06-25 17:21:29.176786 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2024-06-25 17:21:29.225622 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2024-06-25 17:21:29.275911 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2024-06-25 17:21:29.32864 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2024-06-25 17:21:29.385452 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2024-06-25 17:21:29.439014 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2024-06-25 17:21:29.493423 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2024-06-25 17:21:29.547108 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2024-06-25 17:21:29.600189 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2024-06-25 17:21:29.683121 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2024-06-25 17:21:29.735668 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2024-06-25 17:21:29.78844 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2024-06-25 17:21:29.842147 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2024-06-25 17:21:29.895008 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2024-06-25 17:21:29.957566 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2024-06-25 17:21:30.012883 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2024-06-25 17:21:30.065556 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2024-06-25 17:21:30.11842 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2024-06-25 17:21:30.171945 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2024-06-25 17:21:30.224363 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2024-06-25 17:21:30.288775 INFO::Creating boxplot for categorical data, diagnosis vs F59
## 2024-06-25 17:21:30.341911 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2024-06-25 17:21:30.392984 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2024-06-25 17:21:30.446512 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2024-06-25 17:21:30.499707 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2024-06-25 17:21:30.565384 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2024-06-25 17:21:30.624071 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2024-06-25 17:21:30.679753 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2024-06-25 17:21:30.734456 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2024-06-25 17:21:30.788171 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2024-06-25 17:21:30.842189 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2024-06-25 17:21:30.908508 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2024-06-25 17:21:30.963399 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2024-06-25 17:21:31.017914 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2024-06-25 17:21:31.07183 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2024-06-25 17:21:31.127111 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2024-06-25 17:21:31.193783 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2024-06-25 17:21:31.247678 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2024-06-25 17:21:31.301455 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2024-06-25 17:21:31.356695 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2024-06-25 17:21:31.41221 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2024-06-25 17:21:31.477834 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2024-06-25 17:21:31.536015 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2024-06-25 17:21:31.589812 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2024-06-25 17:21:31.643773 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2024-06-25 17:21:31.696829 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2024-06-25 17:21:31.752132 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2024-06-25 17:21:31.822313 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2024-06-25 17:21:31.876761 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2024-06-25 17:21:31.931687 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2024-06-25 17:21:31.985401 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2024-06-25 17:21:32.0388 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2024-06-25 17:21:32.104327 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2024-06-25 17:21:32.159575 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2024-06-25 17:21:32.214774 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2024-06-25 17:21:32.269676 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2024-06-25 17:21:32.323107 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2024-06-25 17:21:32.383863 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2024-06-25 17:21:32.442776 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2024-06-25 17:21:32.497026 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2024-06-25 17:21:32.551682 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2024-06-25 17:21:32.608386 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2024-06-25 17:21:32.665019 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2024-06-25 17:21:32.731467 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2024-06-25 17:21:32.785207 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2024-06-25 17:21:32.840045 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2024-06-25 17:21:32.895423 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2024-06-25 17:21:32.956452 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2024-06-25 17:21:33.024325 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2024-06-25 17:21:33.078925 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2024-06-25 17:21:33.132185 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2024-06-25 17:21:33.18601 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2024-06-25 17:21:33.239753 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2024-06-25 17:21:33.300624 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2024-06-25 17:21:33.353763 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2024-06-25 17:21:33.402365 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2024-06-25 17:21:33.450638 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2024-06-25 17:21:33.499594 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2024-06-25 17:21:33.548423 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2024-06-25 17:21:33.606954 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2024-06-25 17:21:33.65485 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2024-06-25 17:21:33.703421 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2024-06-25 17:21:33.751472 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2024-06-25 17:21:33.800763 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2024-06-25 17:21:33.859444 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2024-06-25 17:21:33.907727 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2024-06-25 17:21:33.956466 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2024-06-25 17:21:34.006461 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2024-06-25 17:21:34.056256 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2024-06-25 17:21:34.118754 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2024-06-25 17:21:34.170278 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2024-06-25 17:21:34.218421 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2024-06-25 17:21:34.266764 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2024-06-25 17:21:34.314809 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2024-06-25 17:21:34.370583 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2024-06-25 17:21:34.421526 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2024-06-25 17:21:34.47075 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2024-06-25 17:21:34.520741 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2024-06-25 17:21:34.570369 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2024-06-25 17:21:34.622614 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2024-06-25 17:21:34.684765 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2024-06-25 17:21:34.732854 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2024-06-25 17:21:34.781039 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2024-06-25 17:21:34.835668 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2024-06-25 17:21:34.884241 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2024-06-25 17:21:34.943007 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2024-06-25 17:21:34.991508 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2024-06-25 17:21:35.039427 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2024-06-25 17:21:35.089819 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2024-06-25 17:21:35.140157 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2024-06-25 17:21:35.20059 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2024-06-25 17:21:35.250384 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2024-06-25 17:21:35.299872 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2024-06-25 17:21:35.350612 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2024-06-25 17:21:35.402033 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2024-06-25 17:21:35.460006 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2024-06-25 17:21:35.50877 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2024-06-25 17:21:35.55664 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2024-06-25 17:21:35.604969 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2024-06-25 17:21:35.652963 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2024-06-25 17:21:35.74691 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2024-06-25 17:21:35.798089 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2024-06-25 17:21:35.846546 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2024-06-25 17:21:35.89754 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2024-06-25 17:21:35.954718 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2024-06-25 17:21:36.012023 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2024-06-25 17:21:36.075899 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2024-06-25 17:21:36.125555 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2024-06-25 17:21:36.174595 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2024-06-25 17:21:36.222756 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2024-06-25 17:21:36.271781 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2024-06-25 17:21:36.328875 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2024-06-25 17:21:36.378877 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2024-06-25 17:21:36.42839 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2024-06-25 17:21:36.47728 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2024-06-25 17:21:36.524841 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2024-06-25 17:21:36.57354 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2024-06-25 17:21:36.629201 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2024-06-25 17:21:36.678235 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2024-06-25 17:21:36.726583 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2024-06-25 17:21:36.776906 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2024-06-25 17:21:36.82779 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2024-06-25 17:21:36.888255 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2024-06-25 17:21:36.940403 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2024-06-25 17:21:36.991403 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2024-06-25 17:21:37.042985 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2024-06-25 17:21:37.09458 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2024-06-25 17:21:37.150679 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2024-06-25 17:21:37.200747 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2024-06-25 17:21:37.252388 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2024-06-25 17:21:37.304455 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2024-06-25 17:21:37.354927 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2024-06-25 17:21:37.406809 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2024-06-25 17:21:37.465965 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2024-06-25 17:21:37.516927 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2024-06-25 17:21:37.565965 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2024-06-25 17:21:37.614857 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2024-06-25 17:21:37.663399 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2024-06-25 17:21:37.721201 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2024-06-25 17:21:37.776029 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2024-06-25 17:21:37.829935 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2024-06-25 17:21:37.882003 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2024-06-25 17:21:37.933411 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2024-06-25 17:21:37.992083 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2024-06-25 17:21:38.04566 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2024-06-25 17:21:38.100975 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2024-06-25 17:21:38.152342 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2024-06-25 17:21:38.201779 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2024-06-25 17:21:38.25181 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2024-06-25 17:21:38.308644 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2024-06-25 17:21:38.358769 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2024-06-25 17:21:38.410196 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2024-06-25 17:21:38.464057 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2024-06-25 17:21:38.514256 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2024-06-25 17:21:38.572091 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2024-06-25 17:21:38.628377 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2024-06-25 17:21:38.683 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2024-06-25 17:21:38.73783 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2024-06-25 17:21:38.79166 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2024-06-25 17:21:38.854494 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2024-06-25 17:21:38.910039 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2024-06-25 17:21:38.964718 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2024-06-25 17:21:39.019923 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2024-06-25 17:21:39.074053 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2024-06-25 17:21:39.128585 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2024-06-25 17:21:39.192586 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2024-06-25 17:21:39.247439 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2024-06-25 17:21:39.302971 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2024-06-25 17:21:39.357544 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2024-06-25 17:21:39.412418 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2024-06-25 17:21:39.474927 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2024-06-25 17:21:39.530067 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2024-06-25 17:21:39.584869 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2024-06-25 17:21:39.640918 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2024-06-25 17:21:39.695844 INFO::Creating boxplot for categorical data, diagnosis vs F843
## 2024-06-25 17:21:39.760351 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2024-06-25 17:21:39.815975 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2024-06-25 17:21:39.871122 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2024-06-25 17:21:39.925798 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2024-06-25 17:21:39.980561 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2024-06-25 17:21:40.043685 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2024-06-25 17:21:40.098545 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2024-06-25 17:21:40.153957 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2024-06-25 17:21:40.209437 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2024-06-25 17:21:40.263564 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2024-06-25 17:21:40.316723 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2024-06-25 17:21:40.386335 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2024-06-25 17:21:40.441939 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2024-06-25 17:21:40.496229 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2024-06-25 17:21:40.550157 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2024-06-25 17:21:40.603892 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2024-06-25 17:21:40.665763 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2024-06-25 17:21:40.72055 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2024-06-25 17:21:40.774998 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2024-06-25 17:21:40.830005 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2024-06-25 17:21:40.885064 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2024-06-25 17:21:40.950044 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2024-06-25 17:21:41.00662 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2024-06-25 17:21:41.062659 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2024-06-25 17:21:41.116222 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2024-06-25 17:21:41.779225 INFO::Plotting data for metadata number 2, antibiotics
## 2024-06-25 17:21:41.780081 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2024-06-25 17:21:41.836749 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2024-06-25 17:21:41.927271 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2024-06-25 17:21:41.992168 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2024-06-25 17:21:42.052214 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2024-06-25 17:21:42.11136 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2024-06-25 17:21:42.169343 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2024-06-25 17:21:42.23788 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2024-06-25 17:21:42.304024 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2024-06-25 17:21:42.363487 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2024-06-25 17:21:42.422177 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2024-06-25 17:21:42.48072 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2024-06-25 17:21:42.540096 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2024-06-25 17:21:42.61455 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2024-06-25 17:21:42.674588 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2024-06-25 17:21:42.735384 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2024-06-25 17:21:42.793452 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2024-06-25 17:21:42.850927 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2024-06-25 17:21:42.926278 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2024-06-25 17:21:42.996023 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2024-06-25 17:21:43.061772 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2024-06-25 17:21:43.119649 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2024-06-25 17:21:43.17757 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2024-06-25 17:21:43.245881 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2024-06-25 17:21:43.300645 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2024-06-25 17:21:43.354436 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2024-06-25 17:21:43.407701 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2024-06-25 17:21:43.46124 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2024-06-25 17:21:43.526993 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2024-06-25 17:21:43.583005 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2024-06-25 17:21:43.638981 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2024-06-25 17:21:43.691942 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2024-06-25 17:21:43.745347 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2024-06-25 17:21:43.812325 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2024-06-25 17:21:43.866413 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2024-06-25 17:21:43.920194 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2024-06-25 17:21:43.973923 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2024-06-25 17:21:44.034534 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2024-06-25 17:21:44.094681 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2024-06-25 17:21:44.149214 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2024-06-25 17:21:44.204528 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2024-06-25 17:21:44.25872 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2024-06-25 17:21:44.326591 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2024-06-25 17:21:44.383293 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2024-06-25 17:21:44.436313 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2024-06-25 17:21:44.489303 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2024-06-25 17:21:44.542962 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2024-06-25 17:21:44.608015 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2024-06-25 17:21:44.663509 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2024-06-25 17:21:44.717002 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2024-06-25 17:21:44.770151 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2024-06-25 17:21:44.823604 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2024-06-25 17:21:44.887633 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2024-06-25 17:21:44.941947 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2024-06-25 17:21:44.99723 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2024-06-25 17:21:45.049885 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2024-06-25 17:21:45.101462 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2024-06-25 17:21:45.164477 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2024-06-25 17:21:45.216613 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2024-06-25 17:21:45.269577 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2024-06-25 17:21:45.321514 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2024-06-25 17:21:45.374277 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2024-06-25 17:21:45.439561 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2024-06-25 17:21:45.492277 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2024-06-25 17:21:45.544378 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2024-06-25 17:21:45.595775 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2024-06-25 17:21:45.647672 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2024-06-25 17:21:45.711942 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2024-06-25 17:21:45.765235 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2024-06-25 17:21:45.817937 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2024-06-25 17:21:45.869599 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2024-06-25 17:21:45.920973 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2024-06-25 17:21:45.985285 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2024-06-25 17:21:46.038124 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2024-06-25 17:21:46.090725 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2024-06-25 17:21:46.1432 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2024-06-25 17:21:46.196037 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2024-06-25 17:21:46.261246 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2024-06-25 17:21:46.313946 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2024-06-25 17:21:46.365786 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2024-06-25 17:21:46.417471 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2024-06-25 17:21:46.477535 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2024-06-25 17:21:46.532972 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2024-06-25 17:21:46.585467 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2024-06-25 17:21:46.64441 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2024-06-25 17:21:46.701594 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2024-06-25 17:21:46.767611 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2024-06-25 17:21:46.822486 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2024-06-25 17:21:46.877008 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2024-06-25 17:21:46.93043 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2024-06-25 17:21:46.984469 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2024-06-25 17:21:47.052264 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2024-06-25 17:21:47.111301 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2024-06-25 17:21:47.165684 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2024-06-25 17:21:47.219829 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2024-06-25 17:21:47.274297 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2024-06-25 17:21:47.342047 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2024-06-25 17:21:47.398293 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2024-06-25 17:21:47.454448 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2024-06-25 17:21:47.506683 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2024-06-25 17:21:47.560561 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2024-06-25 17:21:47.627353 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2024-06-25 17:21:47.68221 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2024-06-25 17:21:47.736958 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2024-06-25 17:21:47.790298 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2024-06-25 17:21:47.891822 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2024-06-25 17:21:47.94817 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2024-06-25 17:21:48.00411 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2024-06-25 17:21:48.064633 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2024-06-25 17:21:48.128477 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2024-06-25 17:21:48.200298 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2024-06-25 17:21:48.263094 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2024-06-25 17:21:48.320849 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2024-06-25 17:21:48.378004 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2024-06-25 17:21:48.438067 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2024-06-25 17:21:48.511482 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2024-06-25 17:21:48.572396 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2024-06-25 17:21:48.632821 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2024-06-25 17:21:48.693777 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2024-06-25 17:21:48.751747 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2024-06-25 17:21:48.820868 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2024-06-25 17:21:48.881454 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2024-06-25 17:21:48.944543 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2024-06-25 17:21:49.005714 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2024-06-25 17:21:49.063493 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2024-06-25 17:21:49.135099 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2024-06-25 17:21:49.196807 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2024-06-25 17:21:49.25784 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2024-06-25 17:21:49.317982 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2024-06-25 17:21:49.37671 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2024-06-25 17:21:49.445655 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2024-06-25 17:21:49.506967 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2024-06-25 17:21:49.569315 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2024-06-25 17:21:49.629968 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2024-06-25 17:21:49.689363 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2024-06-25 17:21:49.762154 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2024-06-25 17:21:49.822002 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2024-06-25 17:21:49.882106 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2024-06-25 17:21:49.940831 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2024-06-25 17:21:49.998437 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2024-06-25 17:21:50.066541 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2024-06-25 17:21:50.126795 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2024-06-25 17:21:50.190639 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2024-06-25 17:21:50.251643 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2024-06-25 17:21:50.313313 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2024-06-25 17:21:50.386944 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2024-06-25 17:21:50.449528 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2024-06-25 17:21:50.513907 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2024-06-25 17:21:50.571756 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2024-06-25 17:21:50.631655 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2024-06-25 17:21:50.702841 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2024-06-25 17:21:50.763237 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2024-06-25 17:21:50.824743 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2024-06-25 17:21:50.883786 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2024-06-25 17:21:50.942729 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2024-06-25 17:21:51.013372 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2024-06-25 17:21:51.074261 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2024-06-25 17:21:51.13588 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2024-06-25 17:21:51.194544 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2024-06-25 17:21:51.252883 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2024-06-25 17:21:51.3227 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2024-06-25 17:21:51.385289 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2024-06-25 17:21:51.44672 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2024-06-25 17:21:51.506283 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2024-06-25 17:21:51.573658 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2024-06-25 17:21:51.637403 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2024-06-25 17:21:51.697511 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2024-06-25 17:21:51.757568 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2024-06-25 17:21:51.817441 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2024-06-25 17:21:51.881803 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2024-06-25 17:21:51.937878 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2024-06-25 17:21:51.994696 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2024-06-25 17:21:52.051478 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2024-06-25 17:21:52.104709 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2024-06-25 17:21:52.168909 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2024-06-25 17:21:52.223922 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2024-06-25 17:21:52.279133 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2024-06-25 17:21:52.334378 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2024-06-25 17:21:52.389734 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2024-06-25 17:21:52.461079 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2024-06-25 17:21:52.514954 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2024-06-25 17:21:52.56871 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2024-06-25 17:21:52.6209 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2024-06-25 17:21:52.673228 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2024-06-25 17:21:52.736361 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2024-06-25 17:21:52.789902 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2024-06-25 17:21:52.84488 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2024-06-25 17:21:52.897901 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2024-06-25 17:21:52.953853 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2024-06-25 17:21:53.020072 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2024-06-25 17:21:53.074912 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2024-06-25 17:21:53.130545 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2024-06-25 17:21:53.184239 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2024-06-25 17:21:53.249339 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2024-06-25 17:21:53.310874 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2024-06-25 17:21:53.36567 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2024-06-25 17:21:53.424446 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2024-06-25 17:21:53.479133 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2024-06-25 17:21:53.547428 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2024-06-25 17:21:53.60307 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2024-06-25 17:21:53.658379 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2024-06-25 17:21:53.713565 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2024-06-25 17:21:53.769776 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2024-06-25 17:21:53.839836 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2024-06-25 17:21:53.899327 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2024-06-25 17:21:53.960148 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2024-06-25 17:21:54.017706 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2024-06-25 17:21:54.075246 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2024-06-25 17:21:54.176041 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2024-06-25 17:21:54.235723 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2024-06-25 17:21:54.295854 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2024-06-25 17:21:54.356464 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2024-06-25 17:21:54.416342 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2024-06-25 17:21:54.495868 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2024-06-25 17:21:54.552901 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2024-06-25 17:21:54.60902 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2024-06-25 17:21:54.664654 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2024-06-25 17:21:54.718693 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2024-06-25 17:21:54.787431 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2024-06-25 17:21:54.843825 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2024-06-25 17:21:54.902573 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2024-06-25 17:21:54.959706 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2024-06-25 17:21:55.014655 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2024-06-25 17:21:55.084043 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2024-06-25 17:21:55.139271 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2024-06-25 17:21:55.194264 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2024-06-25 17:21:55.248422 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2024-06-25 17:21:55.30435 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2024-06-25 17:21:55.37674 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2024-06-25 17:21:55.432844 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2024-06-25 17:21:55.489751 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2024-06-25 17:21:55.544769 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2024-06-25 17:21:55.598482 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2024-06-25 17:21:55.668404 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2024-06-25 17:21:55.725863 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2024-06-25 17:21:55.781525 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2024-06-25 17:21:55.83616 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2024-06-25 17:21:55.897797 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2024-06-25 17:21:55.960551 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2024-06-25 17:21:56.015924 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2024-06-25 17:21:56.072514 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2024-06-25 17:21:56.12756 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2024-06-25 17:21:56.191014 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2024-06-25 17:21:56.252126 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2024-06-25 17:21:56.311248 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2024-06-25 17:21:56.367487 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2024-06-25 17:21:56.421656 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2024-06-25 17:21:56.487393 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2024-06-25 17:21:56.545661 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2024-06-25 17:21:56.601267 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2024-06-25 17:21:56.657818 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2024-06-25 17:21:56.712914 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2024-06-25 17:21:56.782999 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2024-06-25 17:21:56.838223 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2024-06-25 17:21:56.894941 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2024-06-25 17:21:56.953305 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2024-06-25 17:21:57.009179 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2024-06-25 17:21:57.078724 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2024-06-25 17:21:57.134561 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2024-06-25 17:21:57.190048 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2024-06-25 17:21:57.244899 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2024-06-25 17:21:57.29947 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2024-06-25 17:21:57.368584 INFO::Creating boxplot for categorical data, antibiotics vs F416
## 2024-06-25 17:21:57.424237 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2024-06-25 17:21:57.482961 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2024-06-25 17:21:57.543023 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2024-06-25 17:21:57.599688 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2024-06-25 17:21:57.667109 INFO::Creating boxplot for categorical data, antibiotics vs F846
## 2024-06-25 17:21:57.719813 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2024-06-25 17:21:57.773345 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2024-06-25 17:21:57.827051 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2024-06-25 17:21:57.88103 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2024-06-25 17:21:57.951288 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2024-06-25 17:21:58.007611 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2024-06-25 17:21:58.066565 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2024-06-25 17:21:58.120101 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2024-06-25 17:21:58.173726 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2024-06-25 17:21:58.245983 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2024-06-25 17:21:58.301382 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2024-06-25 17:21:58.357745 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2024-06-25 17:21:58.412663 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2024-06-25 17:21:58.470029 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2024-06-25 17:21:58.528391 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2024-06-25 17:21:58.580614 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2024-06-25 17:21:58.634654 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2024-06-25 17:21:58.687639 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2024-06-25 17:21:58.75573 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2024-06-25 17:21:58.807519 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2024-06-25 17:21:58.858314 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2024-06-25 17:21:58.909528 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2024-06-25 17:21:58.960027 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2024-06-25 17:21:59.026807 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2024-06-25 17:21:59.080247 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2024-06-25 17:21:59.134715 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2024-06-25 17:21:59.18895 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2024-06-25 17:21:59.242454 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2024-06-25 17:21:59.311288 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2024-06-25 17:21:59.366506 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2024-06-25 17:21:59.423262 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2024-06-25 17:21:59.477702 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2024-06-25 17:21:59.53205 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2024-06-25 17:21:59.599705 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2024-06-25 17:21:59.654147 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2024-06-25 17:21:59.709103 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2024-06-25 17:21:59.762794 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2024-06-25 17:21:59.830486 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2024-06-25 17:21:59.886556 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2024-06-25 17:21:59.951805 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2024-06-25 17:22:00.007081 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2024-06-25 17:22:00.059641 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2024-06-25 17:22:00.461841 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2024-06-25 17:22:00.513645 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2024-06-25 17:22:00.564248 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2024-06-25 17:22:00.619811 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2024-06-25 17:22:00.676962 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2024-06-25 17:22:00.738314 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2024-06-25 17:22:00.789796 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2024-06-25 17:22:00.841056 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2024-06-25 17:22:00.893547 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2024-06-25 17:22:00.94703 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2024-06-25 17:22:01.005737 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2024-06-25 17:22:01.055812 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2024-06-25 17:22:01.105788 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2024-06-25 17:22:01.157281 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2024-06-25 17:22:01.20969 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2024-06-25 17:22:01.26651 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2024-06-25 17:22:01.317949 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2024-06-25 17:22:01.369731 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2024-06-25 17:22:01.422643 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2024-06-25 17:22:01.475687 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2024-06-25 17:22:01.53492 INFO::Creating boxplot for categorical data, antibiotics vs F744
## 2024-06-25 17:22:01.585064 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2024-06-25 17:22:01.634112 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2024-06-25 17:22:01.685188 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2024-06-25 17:22:01.736561 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2024-06-25 17:22:01.792538 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2024-06-25 17:22:01.84395 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2024-06-25 17:22:01.895572 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2024-06-25 17:22:01.948506 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2024-06-25 17:22:02.002476 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2024-06-25 17:22:02.058973 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2024-06-25 17:22:02.110481 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2024-06-25 17:22:02.161097 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2024-06-25 17:22:02.212969 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2024-06-25 17:22:02.264933 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2024-06-25 17:22:02.32296 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2024-06-25 17:22:02.373271 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2024-06-25 17:22:02.42353 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2024-06-25 17:22:02.476117 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2024-06-25 17:22:02.528074 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2024-06-25 17:22:02.586912 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2024-06-25 17:22:02.640179 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2024-06-25 17:22:02.691084 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2024-06-25 17:22:02.741578 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2024-06-25 17:22:02.792678 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2024-06-25 17:22:02.84927 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2024-06-25 17:22:02.89997 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2024-06-25 17:22:02.950817 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2024-06-25 17:22:03.002771 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2024-06-25 17:22:03.055772 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2024-06-25 17:22:03.113302 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2024-06-25 17:22:03.164717 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2024-06-25 17:22:03.215923 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2024-06-25 17:22:03.268297 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2024-06-25 17:22:03.321586 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2024-06-25 17:22:03.38065 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2024-06-25 17:22:03.431326 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2024-06-25 17:22:03.482359 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2024-06-25 17:22:03.533286 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2024-06-25 17:22:03.58426 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2024-06-25 17:22:03.641202 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2024-06-25 17:22:03.691775 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2024-06-25 17:22:03.742478 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2024-06-25 17:22:03.794205 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2024-06-25 17:22:03.847201 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2024-06-25 17:22:03.904496 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2024-06-25 17:22:03.955344 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2024-06-25 17:22:04.007469 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2024-06-25 17:22:04.059641 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2024-06-25 17:22:04.112353 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2024-06-25 17:22:04.171504 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2024-06-25 17:22:04.223843 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2024-06-25 17:22:04.27795 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2024-06-25 17:22:04.329531 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2024-06-25 17:22:04.381851 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2024-06-25 17:22:04.439756 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2024-06-25 17:22:04.489496 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2024-06-25 17:22:04.540017 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2024-06-25 17:22:04.592147 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2024-06-25 17:22:04.645675 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2024-06-25 17:22:04.704733 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2024-06-25 17:22:04.757076 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2024-06-25 17:22:04.809917 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2024-06-25 17:22:04.862338 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2024-06-25 17:22:04.915602 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2024-06-25 17:22:04.973644 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2024-06-25 17:22:05.026864 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2024-06-25 17:22:05.080614 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2024-06-25 17:22:05.135687 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2024-06-25 17:22:05.187163 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2024-06-25 17:22:05.243408 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2024-06-25 17:22:05.294165 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2024-06-25 17:22:05.346287 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2024-06-25 17:22:05.398639 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2024-06-25 17:22:05.455819 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2024-06-25 17:22:05.506212 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2024-06-25 17:22:05.556248 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2024-06-25 17:22:05.60702 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2024-06-25 17:22:05.658232 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2024-06-25 17:22:05.714741 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2024-06-25 17:22:05.764392 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2024-06-25 17:22:05.814845 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2024-06-25 17:22:05.865694 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2024-06-25 17:22:05.917001 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2024-06-25 17:22:05.999491 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2024-06-25 17:22:06.051234 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2024-06-25 17:22:06.101717 INFO::Creating boxplot for categorical data, antibiotics vs F672
## 2024-06-25 17:22:06.153348 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2024-06-25 17:22:06.204795 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2024-06-25 17:22:06.268652 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2024-06-25 17:22:06.321551 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2024-06-25 17:22:06.372359 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2024-06-25 17:22:06.42338 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2024-06-25 17:22:06.475281 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2024-06-25 17:22:06.537262 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2024-06-25 17:22:06.589556 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2024-06-25 17:22:06.640723 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2024-06-25 17:22:06.691697 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2024-06-25 17:22:06.742746 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2024-06-25 17:22:06.802506 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2024-06-25 17:22:06.855471 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2024-06-25 17:22:06.9062 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2024-06-25 17:22:06.958011 INFO::Creating boxplot for categorical data, antibiotics vs F754
## 2024-06-25 17:22:07.011006 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2024-06-25 17:22:07.064125 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2024-06-25 17:22:07.128116 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2024-06-25 17:22:07.181095 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2024-06-25 17:22:07.801627 INFO::Plotting data for metadata number 3, age
## 2024-06-25 17:22:07.802537 INFO::Creating scatter plot for continuous data, age vs F340
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:07.889154 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:07.971319 INFO::Creating scatter plot for continuous data, age vs F356
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.04175 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:08.095813 INFO::Creating scatter plot for continuous data, age vs F177
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.154209 INFO::Creating scatter plot for continuous data, age vs F390
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.212577 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:08.280567 INFO::Creating scatter plot for continuous data, age vs F491
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.341702 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:08.397579 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:08.450174 INFO::Creating scatter plot for continuous data, age vs F483
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.507492 INFO::Creating scatter plot for continuous data, age vs F878
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.575573 INFO::Creating scatter plot for continuous data, age vs F876
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.63276 INFO::Creating scatter plot for continuous data, age vs F211
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.688928 INFO::Creating scatter plot for continuous data, age vs F732
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.746077 INFO::Creating scatter plot for continuous data, age vs F222
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.813916 INFO::Creating scatter plot for continuous data, age vs F688
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.869872 INFO::Creating scatter plot for continuous data, age vs F170
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.927611 INFO::Creating scatter plot for continuous data, age vs F431
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:08.98413 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:09.047727 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:09.10083 INFO::Creating scatter plot for continuous data, age vs F334
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:09.158928 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:09.213209 INFO::Creating scatter plot for continuous data, age vs F223
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:09.272064 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:09.337063 INFO::Creating scatter plot for continuous data, age vs F623
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:09.39598 INFO::Creating scatter plot for continuous data, age vs F329
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:09.4565 INFO::Creating scatter plot for continuous data, age vs F395
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:09.515865 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:09.57889 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:09.631436 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:09.683531 INFO::Creating scatter plot for continuous data, age vs F285
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:09.739958 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:09.798158 INFO::Creating scatter plot for continuous data, age vs F894
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:09.87441 INFO::Creating scatter plot for continuous data, age vs F300
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:09.938513 INFO::Creating scatter plot for continuous data, age vs F32
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:10.003747 INFO::Creating scatter plot for continuous data, age vs F24
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:10.06803 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:10.138323 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:10.198891 INFO::Creating scatter plot for continuous data, age vs F185
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:10.262008 INFO::Creating scatter plot for continuous data, age vs F513
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:10.325588 INFO::Creating scatter plot for continuous data, age vs F296
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:10.400849 INFO::Creating scatter plot for continuous data, age vs F471
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:10.464376 INFO::Creating scatter plot for continuous data, age vs F793
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:10.52773 INFO::Creating scatter plot for continuous data, age vs F402
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:10.592374 INFO::Creating scatter plot for continuous data, age vs F541
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:10.669323 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:10.731019 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:10.790713 INFO::Creating scatter plot for continuous data, age vs F594
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:10.856296 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:10.917258 INFO::Creating scatter plot for continuous data, age vs F330
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:11.002161 INFO::Creating scatter plot for continuous data, age vs F197
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:11.070569 INFO::Creating scatter plot for continuous data, age vs F735
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:11.133462 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:11.1916 INFO::Creating scatter plot for continuous data, age vs F635
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:11.267685 INFO::Creating scatter plot for continuous data, age vs F687
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:11.330977 INFO::Creating scatter plot for continuous data, age vs F652
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:11.397451 INFO::Creating scatter plot for continuous data, age vs F651
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:11.460524 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:11.530433 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:11.588586 INFO::Creating scatter plot for continuous data, age vs F866
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:11.650924 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:11.709047 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:11.767603 INFO::Creating scatter plot for continuous data, age vs F684
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:11.889754 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:11.950953 INFO::Creating scatter plot for continuous data, age vs F224
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.01777 INFO::Creating scatter plot for continuous data, age vs F722
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.085426 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:12.157282 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:12.216887 INFO::Creating scatter plot for continuous data, age vs F19
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.280985 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:12.339217 INFO::Creating scatter plot for continuous data, age vs F859
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.402392 INFO::Creating scatter plot for continuous data, age vs F522
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.477316 INFO::Creating scatter plot for continuous data, age vs F372
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.543357 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:12.603996 INFO::Creating scatter plot for continuous data, age vs F782
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.668279 INFO::Creating scatter plot for continuous data, age vs F839
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.741274 INFO::Creating scatter plot for continuous data, age vs F827
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.805926 INFO::Creating scatter plot for continuous data, age vs F817
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.870238 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:12.929215 INFO::Creating scatter plot for continuous data, age vs F127
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:12.999752 INFO::Creating scatter plot for continuous data, age vs F749
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:13.069293 INFO::Creating scatter plot for continuous data, age vs F877
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:13.136091 INFO::Creating scatter plot for continuous data, age vs F150
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:13.201563 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:13.261628 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:13.331451 INFO::Creating scatter plot for continuous data, age vs F809
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:13.397265 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:13.458782 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:13.519492 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:13.580619 INFO::Creating scatter plot for continuous data, age vs F842
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:13.656535 INFO::Creating scatter plot for continuous data, age vs F319
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:13.730852 INFO::Creating scatter plot for continuous data, age vs F96
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:13.795543 INFO::Creating scatter plot for continuous data, age vs F171
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:13.859761 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:13.932756 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:13.993997 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:14.054131 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:14.115281 INFO::Creating scatter plot for continuous data, age vs F147
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:14.188901 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:14.250817 INFO::Creating scatter plot for continuous data, age vs F212
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:14.316461 INFO::Creating scatter plot for continuous data, age vs F718
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:14.380867 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:14.439975 INFO::Creating scatter plot for continuous data, age vs F690
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:14.515748 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:14.577118 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:14.636563 INFO::Creating scatter plot for continuous data, age vs F110
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:14.703485 INFO::Creating scatter plot for continuous data, age vs F857
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:14.784966 INFO::Creating scatter plot for continuous data, age vs F84
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:14.848523 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:14.906546 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:14.964375 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:15.021486 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:15.089099 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:15.147833 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:15.206395 INFO::Creating scatter plot for continuous data, age vs F630
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:15.269726 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:15.337311 INFO::Creating scatter plot for continuous data, age vs F711
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:15.400126 INFO::Creating scatter plot for continuous data, age vs F152
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:15.462132 INFO::Creating scatter plot for continuous data, age vs F324
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:15.523164 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:15.581148 INFO::Creating scatter plot for continuous data, age vs F699
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:15.652867 INFO::Creating scatter plot for continuous data, age vs F846
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:15.717189 INFO::Creating scatter plot for continuous data, age vs F380
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:15.780879 INFO::Creating scatter plot for continuous data, age vs F172
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:15.844014 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:15.912092 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:15.97371 INFO::Creating scatter plot for continuous data, age vs F199
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.038393 INFO::Creating scatter plot for continuous data, age vs F198
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.099707 INFO::Creating scatter plot for continuous data, age vs F479
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.172928 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:16.233044 INFO::Creating scatter plot for continuous data, age vs F508
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.295577 INFO::Creating scatter plot for continuous data, age vs F337
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.358513 INFO::Creating scatter plot for continuous data, age vs F737
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.429992 INFO::Creating scatter plot for continuous data, age vs F609
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.49319 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:16.551209 INFO::Creating scatter plot for continuous data, age vs F821
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.613989 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:16.672276 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:16.74024 INFO::Creating scatter plot for continuous data, age vs F417
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.804247 INFO::Creating scatter plot for continuous data, age vs F58
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.866783 INFO::Creating scatter plot for continuous data, age vs F267
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:16.928917 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:16.996801 INFO::Creating scatter plot for continuous data, age vs F890
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:17.059954 INFO::Creating scatter plot for continuous data, age vs F655
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:17.122865 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:17.180867 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:17.24877 INFO::Creating scatter plot for continuous data, age vs F93
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:17.311864 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:17.369459 INFO::Creating scatter plot for continuous data, age vs F480
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:17.431987 INFO::Creating scatter plot for continuous data, age vs F567
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:17.493717 INFO::Creating scatter plot for continuous data, age vs F871
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:17.565128 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:17.623358 INFO::Creating scatter plot for continuous data, age vs F459
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:17.687755 INFO::Creating scatter plot for continuous data, age vs F812
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:17.753609 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:17.853366 INFO::Creating scatter plot for continuous data, age vs F239
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:17.919469 INFO::Creating scatter plot for continuous data, age vs F754
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:17.986382 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:18.045383 INFO::Creating scatter plot for continuous data, age vs F5
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:18.124936 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:22:18.186702 INFO::Creating scatter plot for continuous data, age vs F477
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:18.252104 INFO::Creating scatter plot for continuous data, age vs F571
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:22:18.316466 INFO::Creating scatter plot for continuous data, age vs F715
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Initiating effect size calculations
## 
## Calculating mean abundance in: IBD
## 
## Calculating mean abundance in: Control
## 
## Calculating effect size in: IBD
## 
## Initiating prioritization
## 
## Calculating meta-rank and prioritizing metabolic features
## 2024-06-25 17:22:19.084481 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2024-06-25 17:22:19.088754 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2024-06-25 17:22:19.096654 INFO::Writing highly prioritized metabolites in IBD to file: Macarron_output/highly_prioritized_per_module_in_IBD.csv

3.3.2 Using dataframes as inputs

abundances_df = read.csv(file = prism_abundances, row.names = 1) # setting features as rownames
annotations_df = read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
metadata_df = read.csv(file = prism_metadata, row.names = 1) # setting samples as rownames 
taxonomy_df = read.csv(file = mets_taxonomy)

# Running Macarron
prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df)

3.3.3 Running Macarron as individual functions

The Macarron::Macarron() function is a wrapper for the Macarron framework. Users can also apply individual functions on the input dataframes to achieve same results as the wrapper with the added benefit of storing output from each function for other analyses. There are seven steps:

# Step 1: Storing input data in a summarized experiment object
prism_mbx <- prepInput(input_abundances = abundances_df,
                       input_annotations = annotations_df,
                       input_metadata = metadata_df)

# Step 2: Creating a distance matrix from pairwise correlations in abundances of metabolic features
prism_w <- makeDisMat(se = prism_mbx)

# Step 3: Finding covariance modules
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
# The output is a list containing two dataframes- module assignments and measures of success
# if evaluateMOS=TRUE. To write modules to a separate dataframe, do:
prism_module_assignments <- prism_modules[[1]]
prism_modules_mos <- prism_modules[[2]]

# Step 4: Calculating AVA
prism_ava <- calAVA(se = prism_mbx,
                    mod.assn = prism_modules)

# Step 5: Calculating q-value
prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules)

# Step 6: Calculating effect size
prism_es <- calES(se = prism_mbx,
                   mac.qval = prism_qval)

# Step 7: Prioritizing metabolic features
prism_prioritized <- prioritize(se = prism_mbx,
                                mod.assn = prism_modules,
                                mac.ava = prism_ava,
                                mac.qval = prism_qval,
                                mac.es = prism_es)
# The output is a list containing two dataframes- all prioritized metabolic features and
# only characterizable metabolic features.
all_prioritized <- prism_prioritized[[1]]
char_prioritized <- prism_prioritized[[2]]

# Step 8 (optional): View only the highly prioritized metabolic features in each module
prism_highly_prioritized <- showBest(prism_prioritized)

Session info from running the demo in R can be displayed with the following command.

sessionInfo()
## R version 4.4.1 RC (2024-06-06 r86719)
## Platform: aarch64-apple-darwin20
## Running under: macOS Ventura 13.6.5
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0
## 
## locale:
## [1] C/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## time zone: America/New_York
## tzcode source: internal
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
##  [1] Macarron_1.9.1              SummarizedExperiment_1.35.0
##  [3] Biobase_2.65.0              GenomicRanges_1.57.1       
##  [5] GenomeInfoDb_1.41.1         IRanges_2.39.0             
##  [7] S4Vectors_0.43.0            BiocGenerics_0.51.0        
##  [9] MatrixGenerics_1.17.0       matrixStats_1.3.0          
## [11] BiocStyle_2.33.1           
## 
## loaded via a namespace (and not attached):
##   [1] mnormt_2.1.1            DBI_1.2.3               pbapply_1.7-2          
##   [4] gridExtra_2.3           rlang_1.1.4             magrittr_2.0.3         
##   [7] compiler_4.4.1          RSQLite_2.3.7           mgcv_1.9-1             
##  [10] png_0.1-8               vctrs_0.6.5             stringr_1.5.1          
##  [13] pkgconfig_2.0.3         crayon_1.5.3            fastmap_1.2.0          
##  [16] backports_1.5.0         XVector_0.45.0          labeling_0.4.3         
##  [19] utf8_1.2.4              rmarkdown_2.27          preprocessCore_1.67.0  
##  [22] UCSC.utils_1.1.0        bit_4.0.5               xfun_0.45              
##  [25] zlibbioc_1.51.1         cachem_1.1.0            jsonlite_1.8.8         
##  [28] blob_1.2.4              DelayedArray_0.31.3     BiocParallel_1.39.0    
##  [31] psych_2.4.3             Maaslin2_1.19.0         parallel_4.4.1         
##  [34] cluster_2.1.6           biglm_0.9-3             R6_2.5.1               
##  [37] RColorBrewer_1.1-3      stringi_1.8.4           bslib_0.7.0            
##  [40] rpart_4.1.23            jquerylib_0.1.4         Rcpp_1.0.12            
##  [43] bookdown_0.39           iterators_1.0.14        knitr_1.47             
##  [46] WGCNA_1.72-5            base64enc_0.1-3         Matrix_1.7-0           
##  [49] splines_4.4.1           nnet_7.3-19             tidyselect_1.2.1       
##  [52] rstudioapi_0.16.0       abind_1.4-5             yaml_2.3.8             
##  [55] doParallel_1.0.17       codetools_0.2-20        plyr_1.8.9             
##  [58] lattice_0.22-6          tibble_3.2.1            withr_3.0.0            
##  [61] KEGGREST_1.45.1         evaluate_0.24.0         foreign_0.8-86         
##  [64] survival_3.7-0          getopt_1.20.4           Biostrings_2.73.1      
##  [67] pillar_1.9.0            BiocManager_1.30.23     checkmate_2.3.1        
##  [70] foreach_1.5.2           pcaPP_2.0-4             generics_0.1.3         
##  [73] ggplot2_3.5.1           munsell_0.5.1           scales_1.3.0           
##  [76] glue_1.7.0              Hmisc_5.1-3             tools_4.4.1            
##  [79] robustbase_0.99-2       data.table_1.15.4       mvtnorm_1.2-5          
##  [82] fastcluster_1.2.6       grid_4.4.1              optparse_1.7.5         
##  [85] impute_1.79.0           AnnotationDbi_1.67.0    colorspace_2.1-0       
##  [88] nlme_3.1-165            GenomeInfoDbData_1.2.12 htmlTable_2.4.2        
##  [91] Formula_1.2-5           cli_3.6.3               fansi_1.0.6            
##  [94] S4Arrays_1.5.1          dplyr_1.1.4             DEoptimR_1.1-3         
##  [97] gtable_0.3.5            hash_2.2.6.3            logging_0.10-108       
## [100] dynamicTreeCut_1.63-1   sass_0.4.9              digest_0.6.36          
## [103] SparseArray_1.5.10      farver_2.1.2            htmlwidgets_1.6.4      
## [106] memoise_2.0.1           htmltools_0.5.8.1       lifecycle_1.0.4        
## [109] httr_1.4.7              GO.db_3.19.1            bit64_4.0.5

3.4 Advanced Topics

3.4.1 Generating the input chemical taxonomy file

The input taxonomy dataframe can be generated using the input metabolic features annotation dataframe using Macarron::decorateID(). This function annotates an HMDB ID or a PubChem CID with the chemical class and subclass of the metabolite.

taxonomy_df <- decorateID(input_annotations = annotations_df)
write.csv(taxonomy_df, file="demo_taxonomy.csv", row.names = FALSE)

3.4.2 Accessory output files

3.4.2.1 Macarron.log

A record of all chosen parameters and steps that were followed during execution.

3.4.2.2 modules_measures_of_success.csv

This file provides information about the properties of covariance modules used in the analysis. By default, modules are generated using a minimum module size (MMS) (argument: min_module_size) equal to cube root of the total number of prevalent metabolic features. Macarron evaluates 9 measures of success (MOS) that collectively capture the “correctness” and chemical homogeneity of the modules. The MOS are as follows:

  • Total modules: Number of modules.
  • Singletons: Number of metabolic features that were not assigned to any module at MMS.
  • % Annotated modules: Percentage of modules that contained at least one annotated metabolic feature.
  • % Consistent assignments: Percentage of times the same metabolic feature was assigned to the same module e.g. if three metabolic features represent glucose, they should all be in the same module. This percentage must be high.
  • Max classes per module: The highest number of chemical classes observed in any module. This is evaluated using the chemical taxonomy of covarying annotated features.
  • 90p classes per module: 90th percentile of classes per module; captures the chemical homogeneity of the modules.
  • Max subclasses per module: The highest number of chemical subclasses observed in any module.
  • 90p subclasses per module: 90th percentile of subclasses per module; captures the chemical homogeneity of the modules.
  • % Features in HAM: Macarron first finds homogeneously annoted modules (HAMs): These are modules in which >75% annotated features have the same chemical class indicating that they are chemically homogeneous. It then calculates how many features the HAMs account for.

3.4.2.3 Maaslin2 results

This folder contains the Maaslin2 log file (maaslin2.log), significant associations found by Maaslin2 (significant_results.tsv) and the linear model residuals file (residuals.rds). For more information, see Maaslin2.

3.4.3 Changing defaults

3.4.3.1 Filtering metabolic features based on prevalence

Ideally, at least 50% metabolic features must be retained after prevalence filtering. By default, Macarron uses the union of metabolic features observed (non-zero abundance) in at least 70% samples of any phenotype for further analysis. This prevalence threshold may be high for some metabolomics datasets and can be changed using the min_prevalence argument.

prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df,
                                        min_prevalence = 0.5)
# or
prism_w <- makeDisMat(se = prism_mbx,
                      min_prevalence = 0.5)

3.4.4 Minimum module size

By default, cube root of the total number of prevalent features is used as the minimum module size (MMS) (argument: min_module_size) for module detection and generation. We expect this to work for most real world datasets. To determine if the modules are optimal for further analysis, Macarron evaluates several measures of success (MOS) as described above. In addition to evaluating MOS for modules generated using the default MMS, Macarron also evaluates MOS for MMS values that are larger (MMS+5, MMS+10) and smaller (MMS-5, MMS-10) than the default MMS. If you find that the MOS improve with larger or smaller MMS, you may change the default accordingly. For more details about module detection, please see WGCNA and dynamicTreeCut.

# See MOS of modules generated using default
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
prism_modules_mos <- prism_modules[[2]]
View(prism_modules_mos)

# Change MMS
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df,
                            min_module_size = 10)

3.4.5 Specifying fixed effects, random effects and reference

Macarron uses Maaslin2 for determining the q-value of differential abundance in a phenotype of interest. For default execution, the phenotype of interest must be a category in column 1 of the metadata dataframe e.g. IBD in diagnosis in the demo. This is also the column that is picked by the metadata_variable argument for identifying the main phenotypes/conditions in any dataset (see Macarron.log file). Further, in the default execution, all columns in the metadata table are considered as fixed effects and the alphabetically first categorical variable in each covariate with two categories is considered as the reference. Maaslin2 requires reference categories to be explicitly defined for all categorical metadata with more than two categories. Defaults can be changed with the arguments fixed_effects, random_effects and reference. In the demo example, fixed effects and reference can be defined as follows:

prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules,
                      metadata_variable = "diagnosis",
                      fixed_effects = c("diagnosis","age","antibiotics"),
                      reference = c("diagnosis,Control";"antibiotics,No"))

4 Command line invocation

The package source contains a script MacarronCMD.R in inst/scripts to invoke Macarron in the command line using Rscript. The inst/scripts folder also contains a README file that comprehensively documents the usage of the script.