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dmGsea

Efficient Gene Set Enrichment Analysis for DNA Methylation Data

Bioconductor version: 3.23 · Package version: 1.2.2

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.

Installation

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

BiocManager::install("dmGsea")

Details

MaintainerZongli Xu <xuz@niehs.nih.gov>
AuthorZongli Xu [cre, aut] (ORCID: <https://orcid.org/0000-0002-9034-8902>), Alison Motsinger-Reif [aut], Liang Niu [aut]
LicenseArtistic-2.0
URLhttps://github.com/Bioconductor/dmGsea
Bug Reportshttps://github.com/Bioconductor/dmGsea/issues
Downloads rank162
Source branchRELEASE_3_23
biocViewsCopyNumberVariation, Coverage, DNAMethylation, GeneExpression, GeneSetEnrichment, GenomicVariation, Pathways, Proteomics, Sequencing, Software

Documentation

Download

Dependencies

Depends: utils, stats, parallel, Matrix, SummarizedExperiment, methods, R (>= 3.5.0)

Imports: dqrng, AnnotationDbi, poolr, BiasedUrn, Seqinfo

Suggests: msigdbr, org.Hs.eg.db, org.Mm.eg.db, minfi, knitr, rmarkdown, GO.db, KEGGREST, testthat, IlluminaHumanMethylationEPICanno.ilm10b4.hg19, IlluminaHumanMethylation450kanno.ilmn12.hg19, BiocStyle, RUnit