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Bioconductor - dmGsea (development version)

dmGsea

This is the development version of dmGsea; to use it, please install the devel version of Bioconductor.

Efficient Gene Set Enrichment Analysis for DNA Methylation Data

Bioconductor version: Development (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: 0000-0002-9034-8902 , Alison Motsinger-Reif [aut], Liang Niu [aut], Zongli Xu [fnd]

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

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

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Details biocViews CopyNumberVariation, Coverage, DNAMethylation, GeneExpression, GeneSetEnrichment, GenomicVariation, Pathways, Proteomics, Sequencing, Software Version 0.99.6 In Bioconductor since BioC 3.22 (R-4.5) License Artistic-2.0 Depends utils, stats, parallel, Matrix, SummarizedExperiment, methods Imports dqrng, AnnotationDbi, poolr, BiasedUrn, GenomeInfoDb System Requirements URL https://github.com/Bioconductor/dmGsea Bug Reports https://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 Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

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


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