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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 "DOSE" in publications use:'
type: software
license: Artistic-2.0
title: 'DOSE: Disease Ontology Semantic and Enrichment analysis'
version: 4.6.0
doi: 10.1093/bioinformatics/btu684
identifiers:
- type: doi
  value: 10.32614/CRAN.package.DOSE
abstract: This package implements five methods proposed by Resnik, Schlicker, Jiang,
  Lin and Wang respectively for measuring semantic similarities among DO terms and
  gene products. Enrichment analyses including hypergeometric model and gene set enrichment
  analysis are also implemented for discovering disease associations of high-throughput
  biological data.
authors:
- family-names: Yu
  given-names: Guangchuang
  email: guangchuangyu@gmail.com
preferred-citation:
  type: article
  title: 'DOSE: an R/Bioconductor package for Disease Ontology Semantic and Enrichment
    analysis'
  authors:
  - family-names: Yu
    given-names: Guangchuang
    email: guangchuangyu@gmail.com
  - family-names: Wang
    given-names: Li-Gen
  - family-names: Yan
    given-names: Guang-Rong
  - family-names: He
    given-names: Qing-Yu
  journal: Bioinformatics
  year: '2015'
  volume: '31'
  issue: '4'
  url: http://bioinformatics.oxfordjournals.org/content/31/4/608
  doi: 10.1093/bioinformatics/btu684
  start: 608-609
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/GuangchuangYu/DOSE
commit: 5a273eb359869ce9767bc858ef0676e05e541eda
url: https://yulab-smu.top/contribution-knowledge-mining/
date-released: '2026-04-28'
contact:
- family-names: Yu
  given-names: Guangchuang
  email: guangchuangyu@gmail.com