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tuberculosis

Bioc current

Tuberculosis Gene Expression Data for Machine Learning

v1.18.0 · experiment · Artistic-2.0

Release Lineage

Entered 3.14 · Oct 27, 2021

Current · Requires R 4.6

1.0 In 10 of 49 releases 3.23

Description

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.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

1 1 exported

Complexity

5 avg / 5 max

Call network

1 nodes / 0 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

269

Files

26

Compiled share

0%

Has compiled src

No

Language breakdown

R 107 (39.8%)Docs 33 (12.3%)Vignettes 129 (48%)

API

Exported functions

1

Internal functions

0

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

10

First release

2021-10-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.14: 270 LOCv3.15: 270 LOCv3.16: 270 LOCv3.17: 270 LOCv3.18: 270 LOCv3.19: 270 LOCv3.20: 270 LOCv3.21: 270 LOCv3.22: 269 LOCv3.23: 269 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 834 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductYesContributing guideYes
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tuberculosis")
Schiffer, L. (2026). tuberculosis: Tuberculosis Gene Expression Data for Machine Learning (Version 1.18.0) [Computer software]. https://bioconductor.org/packages/tuberculosis

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tuberculosis version 1.18.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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