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tuberculosis

Tuberculosis Gene Expression Data for Machine Learning

Bioconductor version: 3.24 · Package version: 1.19.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("tuberculosis")

Details

MaintainerLucas Schiffer <schiffer.lucas@gmail.com>
AuthorLucas Schiffer [aut, cre] (ORCID: <https://orcid.org/0000-0003-3628-0326>)
LicenseArtistic-2.0
URLhttps://github.com/schifferl/tuberculosis
Bug Reportshttps://github.com/schifferl/tuberculosis/issues
Downloads rank139
Source branchdevel
biocViewsExperimentData, ExperimentHub, ExpressionData, Homo_sapiens_Data, MicroarrayData, ReproducibleResearch, SequencingData

Download

Follow the installation instructions to use this package in your R session.

Source packagetuberculosis_1.19.0.tar.gz
Dependencies

Depends: R (>= 4.1.0), SummarizedExperiment

Imports: AnnotationHub, ExperimentHub, S4Vectors, dplyr, magrittr, purrr, rlang, stringr, tibble, tidyr

Suggests: BiocStyle, ggplot2, knitr, readr, rmarkdown, scater, usethis, utils