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cogena

Bioc current

co-expressed gene-set enrichment analysis

v1.46.0 · software · LGPL-3

Release Lineage

Entered 3.1 · Apr 17, 2015

Current · Requires R 4.6

1.0 In 23 of 49 releases 3.23

Description

cogena is a workflow for co-expressed gene-set enrichment analysis. It aims to discovery smaller scale, but highly correlated cellular events that may be of great biological relevance. A novel pipeline for drug discovery and drug repositioning based on the cogena workflow is proposed. Particularly, candidate drugs can be predicted based on the gene expression of disease-related data, or other similar drugs can be identified based on the gene expression of drug-related data. Moreover, the drug mode of action can be disclosed by the associated pathway analysis. In summary, cogena is a flexible workflow for various gene set enrichment analysis for co-expressed genes, with a focus on pathway/GO analysis and drug repositioning.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

24 9 exported

Complexity

9.5 avg / 120 max

Call network

24 nodes / 20 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

5,493

Files

74

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,022 (55%)Docs 1,719 (31.3%)Vignettes 752 (13.7%)

API

Exported functions

17

Internal functions

15

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

16.7%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6

System requirements

C++ standard

License

LGPL-3

License flags

SPDX valid, OSI approved

History

Versions

23

First release

2015-04-16

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

9

LOC over versions

v3.1: 3,706 LOCv3.2: 4,628 LOCv3.3: 5,171 LOCv3.4: 5,171 LOCv3.5: 5,171 LOCv3.6: 5,171 LOCv3.7: 5,171 LOCv3.8: 5,268 LOCv3.9: 5,269 LOCv3.10: 5,269 LOCv3.11: 5,493 LOCv3.12: 5,493 LOCv3.13: 5,493 LOCv3.14: 5,493 LOCv3.15: 5,493 LOCv3.16: 5,493 LOCv3.17: 5,493 LOCv3.18: 5,493 LOCv3.19: 5,493 LOCv3.20: 5,493 LOCv3.21: 5,493 LOCv3.22: 5,493 LOCv3.23: 5,493 LOC

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

Documentation

Documentation
READMEYes · 156 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
78%
Documented parameters
100%
Return-value docs
100%
References docs
3%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cogena")
Jia, Z., & Barnes, M. (2026). cogena: co-expressed gene-set enrichment analysis (Version 1.46.0) [Computer software]. https://bioconductor.org/packages/cogena

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 cogena version 1.46.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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