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
| Maintainer | Zongli Xu <xuz@niehs.nih.gov> |
| Author | Zongli Xu [cre, aut] (ORCID: <https://orcid.org/0000-0002-9034-8902>), Alison Motsinger-Reif [aut], Liang Niu [aut] |
| License | Artistic-2.0 |
| URL | https://github.com/Bioconductor/dmGsea |
| Bug Reports | https://github.com/Bioconductor/dmGsea/issues |
| Downloads rank | 162 |
| Source branch | RELEASE_3_23 |
| biocViews | CopyNumberVariation, Coverage, DNAMethylation, GeneExpression, GeneSetEnrichment, GenomicVariation, Pathways, Proteomics, Sequencing, Software |
Documentation
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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