Brings transcriptomics to the tidyverse


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Documentation for package ‘tidybulk’ version 1.0.2

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adjust_abundance Adjust transcript abundance for unwanted variation
adjust_abundance-method Adjust transcript abundance for unwanted variation
aggregate_duplicates Aggregates multiple counts from the same samples (e.g., from isoforms), concatenates other character columns, and averages other numeric columns
aggregate_duplicates-method Aggregates multiple counts from the same samples (e.g., from isoforms), concatenates other character columns, and averages other numeric columns
arrange drplyr-methods
arrange.default drplyr-methods
as_matrix Get matrix from tibble
bind Efficiently bind multiple data frames by row and column
bind_cols drplyr-methods
bind_rows drplyr-methods
breast_tcga_mini Data set
cluster_elements Get clusters of elements (e.g., samples or transcripts)
cluster_elements-method Get clusters of elements (e.g., samples or transcripts)
counts Example data set
counts_ensembl Counts with ensembl annotation
counts_mini Example data set reduced
deconvolve_cellularity Get cell type proportions from samples
deconvolve_cellularity-method Get cell type proportions from samples
distinct distinct
ensembl_symbol_mapping Data set
ensembl_to_symbol Add transcript symbol column from ensembl id for human and mouse data
ensembl_to_symbol-method Add transcript symbol column from ensembl id for human and mouse data
filter Subset rows using column values
flybaseIDs flybaseIDs
full_join Full join datasets
group_by Group by one or more variables
impute_abundance Impute transcript abundance if missing from sample-transcript pairs
impute_abundance-method Impute transcript abundance if missing from sample-transcript pairs
inner_join Inner join datasets
keep_abundant Keep abundant transcripts
keep_abundant-method Keep abundant transcripts
keep_variable Keep variable transcripts
keep_variable-method Keep variable transcripts
left_join Left join datasets
mutate Create, modify, and delete columns
nest nest
nest.default nest
nest.tidybulk nest
pivot_sample Extract sample-wise information
pivot_sample-method Extract sample-wise information
pivot_transcript Extract transcript-wise information
pivot_transcript-method Extract transcript-wise information
reduce_dimensions Dimension reduction of the transcript abundance data
reduce_dimensions-method Dimension reduction of the transcript abundance data
remove_redundancy Drop redundant elements (e.g., samples) for which feature (e.g., transcript/gene) aboundances are correlated
remove_redundancy-method Drop redundant elements (e.g., samples) for which feature (e.g., transcript/gene) aboundances are correlated
rename Rename columns
right_join Right join datasets
rotate_dimensions Rotate two dimensions (e.g., principal components) of an arbitrary angle
rotate_dimensions-method Rotate two dimensions (e.g., principal components) of an arbitrary angle
rowwise Group input by rows
scale_abundance Scale the counts of transcripts/genes
scale_abundance-method Scale the counts of transcripts/genes
se SummarizedExperiment
se_mini SummarizedExperiment mini for vignette
summarise Summarise each group to fewer rows
symbol_to_entrez Get ENTREZ id from gene SYMBOL
test_differential_abundance Add differential transcription information to a tbl using edgeR.
test_differential_abundance-method Add differential transcription information to a tbl using edgeR.
test_gene_enrichment analyse gene enrichment with EGSEA
test_gene_enrichment-method analyse gene enrichment with EGSEA
test_gene_overrepresentation analyse gene over-representation with GSEA
test_gene_overrepresentation-method analyse gene over-representation with GSEA
tidybulk Creates a 'tt' object from a 'tbl"
tidybulk-method Creates a 'tt' object from a 'tbl"
tidybulk_SAM_BAM Creates a 'tt' object from a list of file names of BAM/SAM
tidybulk_SAM_BAM-method Creates a 'tt' object from a list of file names of BAM/SAM
ungroup drplyr-methods
X_cibersort Cibersort reference