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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "dmGsea" in publications use:'
type: software
license: Artistic-2.0
title: 'dmGsea: Efficient Gene Set Enrichment Analysis for DNA Methylation Data'
version: 1.3.1
doi: 10.1093/bioinformatics/btaf422
identifiers:
- type: doi
  value: 10.32614/CRAN.package.dmGsea
abstract: 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.
authors:
- family-names: Xu
  given-names: Zongli
  email: xuz@niehs.nih.gov
  orcid: https://orcid.org/0000-0002-9034-8902
- family-names: Motsinger-Reif
  given-names: Alison
  email: alison.motsinger-reif@nih.gov
- family-names: Niu
  given-names: Liang
  email: niulg@ucmail.uc.edu
preferred-citation:
  type: article
  title: Efficient gene set analysis for DNA methylation addressing probe dependency
    and bias
  authors:
  - family-names: Xu
    given-names: Zongli
    email: xuz@niehs.nih.gov
    orcid: https://orcid.org/0000-0002-9034-8902
  - family-names: Motsinger-Reif
    given-names: Alison, A.
  - family-names: Niu
    given-names: Liang
    email: niulg@ucmail.uc.edu
  year: '2025'
  journal: Bioinformatics
  doi: 10.1093/bioinformatics/btaf422
repository: https://bioc.r-universe.dev
repository-code: https://github.com/Bioconductor/dmGsea
commit: 67d9347086a3f0843fb864fc7320265a6f1db7f4
url: https://github.com/Bioconductor/dmGsea
date-released: '2026-05-21'
contact:
- family-names: Xu
  given-names: Zongli
  email: xuz@niehs.nih.gov
  orcid: https://orcid.org/0000-0002-9034-8902