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dmGsea

This is thereleased version of dmGsea; for the devel version, seedmGsea.

Efficient Gene Set Enrichment Analysis for DNA Methylation Data

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DOI: 10.18129/B9.bioc.dmGsea


Bioconductor version: Release (3.22)

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, entercitation("dmGsea")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("dmGsea")
dmGsea User's GuideHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsCopyNumberVariation,Coverage,DNAMethylation,GeneExpression,GeneSetEnrichment,GenomicVariation,Pathways,Proteomics,Sequencing,Software
Version1.0.1
In Bioconductor sinceBioC 3.22 (R-4.5) (< 6 months)
LicenseArtistic-2.0
Dependsutils, stats, parallel,Matrix,SummarizedExperiment, methods, R (>= 3.5.0)
Importsdqrng,AnnotationDbi,poolr,BiasedUrn,Seqinfo
System Requirements
URLhttps://github.com/Bioconductor/dmGsea
Bug Reportshttps://github.com/Bioconductor/dmGsea/issues
See More
Suggestsmsigdbr,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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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagedmGsea_1.0.1.tar.gz
Windows Binary (x86_64) dmGsea_1.0.1.zip
macOS Binary (x86_64)dmGsea_1.0.1.tgz
macOS Binary (arm64)dmGsea_1.0.1.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/dmGsea
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/dmGsea
Bioc Package Browserhttps://code.bioconductor.org/browse/dmGsea/
Package Short Urlhttps://bioconductor.org/packages/dmGsea/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.22Source Archive

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