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methylGSA

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8

Gene Set Analysis Using the Outcome of Differential Methylation


Bioconductor version: Release (3.23)

The main functions for methylGSA are methylglm and methylRRA. methylGSA implements logistic regression adjusting number of probes as a covariate. methylRRA adjusts multiple p-values of each gene by Robust Rank Aggregation. For more detailed help information, please see the vignette.

Author: Xu Ren [aut, cre], Pei Fen Kuan [aut]

Maintainer: Xu Ren <xuren2120 at gmail.com>

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

Xu Ren, Pei Fen Kuan. methylGSA: Gene Set Analysis Using the Outcome of Differential Methylation. doi:10.18129/B9.bioc.methylGSA, R package version 1.30.0, https://bioconductor.org/packages/methylGSA.

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("methylGSA")

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("methylGSA")
methylGSA: Gene Set Analysis for DNA Methylation Datasets HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DNAMethylation, DifferentialMethylation, GeneRegulation, GeneSetEnrichment, Pathways, Regression, Software
Version1.30.0
In Bioconductor sinceBioC 3.8 (R-3.5) (8 years)
License GPL-2
Depends R (>= 3.5)
Imports RobustRankAggreg, ggplot2, stringr, stats, clusterProfiler, missMethyl, org.Hs.eg.db, reactome.db, BiocParallel, GO.db, AnnotationDbi, shiny, IlluminaHumanMethylation450kanno.ilmn12.hg19, IlluminaHumanMethylationEPICanno.ilm10b4.hg19
System Requirements
URLhttps://github.com/reese3928/methylGSA
Bug Reportshttps://github.com/reese3928/methylGSA/issues
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Suggests knitr, rmarkdown, testthat, enrichplot
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Package Archives

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

Source Package methylGSA_1.30.0.tar.gz
Windows Binary (x86_64) methylGSA_1.30.0.zip
macOS Binary (big-sur-x86_64) methylGSA_1.30.0.tgz
macOS Binary (sonoma-arm64) methylGSA_1.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/methylGSA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/methylGSA
Package Short Url https://bioconductor.org/packages/methylGSA/
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