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dmGsea

Bioc current

Efficient Gene Set Enrichment Analysis for DNA Methylation Data

v1.2.3 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.22 · Oct 30, 2025

Current · Requires R 4.6

1.0 In 2 of 49 releases 3.23

Description

The R package dmGsea provides efficient gene set enrichment analysis specifically for DNA methylation data. It addresses key biases, including probe dependency and varying probe numbers per gene. The package supports Illumina 450K, EPIC, and mouse methylation arrays. Users can also apply it to other omics data by supplying custom probe-to-gene mapping annotations. dmGsea is flexible, fast, and well-suited for large-scale epigenomic studies.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

41 10 exported

Complexity

3.6 avg / 10 max

Call network

41 nodes / 54 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

1,872

Files

28

Compiled share

0%

Has compiled src

No

Language breakdown

R 993 (53%)Tests 90 (4.8%)Docs 489 (26.1%)Vignettes 300 (16%)

API

Exported functions

10

Internal functions

31

Recent export changes

v3.22+10 gsGene, gsPG, gsProbe +7 more

Testing

Has tests

Yes

Test-to-code ratio

0.09

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

6

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5.0

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

2

First release

2026-01-12

Latest release

2026-09-23

Avg cadence

254 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.22: 1,865 LOCv3.23: 1,872 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 92 wordsVignettesYes · 1 · dynamicNEWSYesCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
11
Examples that run
100%10 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
45%
Vignettes (1)

Repository practices

Upstream repositoryBeta

Repository github.com/bioconductor/dmgsea is linked, but repository-practices checks have not run for it yet.

How this is detected·Detection ruleset v4 (2026-10-20)

Topics

Maintainer
Zongli Xu

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("dmGsea")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/btaf422.

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 dmGsea version 1.2.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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