This is the released version of tuberculosis; for the devel version, see tuberculosis.
Tuberculosis Gene Expression Data for Machine LearningBioconductor version: Release (3.21)
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] ORCID: 0000-0003-3628-0326
Maintainer: Lucas Schiffer <schiffer.lucas at gmail.com>
Citation (from within R, entercitation("tuberculosis")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("tuberculosis")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("tuberculosis")
Details biocViews ExperimentData, ExperimentHub, ExpressionData, Homo_sapiens_Data, MicroarrayData, ReproducibleResearch, SequencingData Version 1.14.0 License Artistic-2.0 Depends R (>= 4.1.0), SummarizedExperiment Imports AnnotationHub, ExperimentHub, S4Vectors, dplyr, magrittr, purrr, rlang, stringr, tibble, tidyr System Requirements URL https://github.com/schifferl/tuberculosis Bug Reports https://github.com/schifferl/tuberculosis/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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