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Tuberculosis Gene Expression Data for Machine Learning

Bioconductor version: Release (3.19)

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")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

tuberculosis HTML R Script
Reference Manual PDF


biocViews ExperimentData, ExperimentHub, ExpressionData, Homo_sapiens_Data, MicroarrayData, ReproducibleResearch, SequencingData
Version 1.10.0
License Artistic-2.0
Depends R (>= 4.1.0), SummarizedExperiment
Imports AnnotationHub, ExperimentHub, S4Vectors, dplyr, magrittr, purrr, rlang, stringr, tibble, tidyr
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Suggests BiocStyle, ggplot2, hrbrthemes, knitr, readr, rmarkdown, scater, usethis, utils
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Follow Installation instructions to use this package in your R session.

Source Package tuberculosis_1.10.0.tar.gz
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