DOI: 10.18129/B9.bioc.tuberculosis  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see tuberculosis.

Tuberculosis Gene Expression Data for Machine Learning

Bioconductor version: 3.17

The tuberculosis R/Bioconductor package features tuberculosis gene expression data for machine learning. All human samples from GEO that did not come from cell lines, were not taken postmortem, and did not feature recombination have been included. The package has more than 10,000 samples from both microarray and sequencing studies that have been processed from raw data through a hyper-standardized, reproducible pipeline.

Author: Lucas Schiffer [aut, cre]

Maintainer: Lucas Schiffer <schiffer.lucas at>

Citation (from within R, enter citation("tuberculosis")):


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biocViews ExperimentData, ExperimentHub, ExpressionData, Homo_sapiens_Data, MicroarrayData, ReproducibleResearch, SequencingData
Version 1.6.0
License Artistic-2.0
Depends R (>= 4.1.0), SummarizedExperiment
Imports AnnotationHub, ExperimentHub, S4Vectors, dplyr, magrittr, purrr, rlang, stringr, tibble, tidyr
Suggests BiocStyle, ggplot2, hrbrthemes, knitr, readr, rmarkdown, scater, usethis, utils
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