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dmGsea

This is the released version of dmGsea; for the devel version, see dmGsea.

All versions 3.24 (devel), 3.23 (release), 3.22

Efficient Gene Set Enrichment Analysis for DNA Methylation Data


Bioconductor version: Release (3.23)

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.

Author: Zongli Xu [cre, aut] ORCID iD ORCID: 0000-0002-9034-8902 , Alison Motsinger-Reif [aut], Liang Niu [aut]

Maintainer: Zongli Xu <xuz at niehs.nih.gov>

Citation (from within R, enter citation("dmGsea")):

Zongli Xu, Alison Motsinger-Reif, Liang Niu. dmGsea: Efficient Gene Set Enrichment Analysis for DNA Methylation Data. doi:10.18129/B9.bioc.dmGsea, R package version 1.2.3, https://bioconductor.org/packages/dmGsea.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("dmGsea")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("dmGsea")
dmGsea User's Guide HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews CopyNumberVariation, Coverage, DNAMethylation, GeneExpression, GeneSetEnrichment, GenomicVariation, Pathways, Proteomics, Sequencing, Software
Version1.2.3
In Bioconductor sinceBioC 3.22 (R-4.5) (1 year)
License Artistic-2.0
Depends utils, stats, parallel, Matrix, SummarizedExperiment, methods, R (>= 3.5.0)
Imports dqrng, AnnotationDbi, poolr, BiasedUrn, Seqinfo
System Requirements
URLhttps://github.com/Bioconductor/dmGsea
Bug Reportshttps://github.com/Bioconductor/dmGsea/issues
See More
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
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package dmGsea_1.2.3.tar.gz
Windows Binary (x86_64) dmGsea_1.2.3.zip
macOS Binary (big-sur-x86_64) dmGsea_1.2.3.tgz
macOS Binary (sonoma-arm64) dmGsea_1.2.3.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/dmGsea
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/dmGsea
Package Short Url https://bioconductor.org/packages/dmGsea/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.23Source Archive