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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 "EnrichDO" in publications use:'
type: software
license: MIT
title: 'EnrichDO: a Global Weighted Model for Disease Ontology Enrichment Analysis'
version: 1.6.0
doi: 10.1093/gigascience/giaf021
identifiers:
- type: doi
  value: 10.32614/CRAN.package.EnrichDO
abstract: To implement disease ontology (DO) enrichment analysis, this package is
  designed and presents a double weighted model based on the latest annotations of
  the human genome with DO terms, by integrating the DO graph topology on a global
  scale. This package exhibits high accuracy that it can identify more specific DO
  terms, which alleviates the over enriched problem. The package includes various
  statistical models and visualization schemes for discovering the associations between
  genes and diseases from biological big data.
authors:
- family-names: Cheng
  given-names: Liang
  email: liangcheng@hrbmu.edu.cn
- family-names: Yang
  given-names: Haixiu
  email: yanghaixiu@ems.hrbmu.edu.cn
- family-names: Fu
  given-names: Hongyu
  email: 2287531995@qq.com
preferred-citation:
  type: article
  title: 'EnrichDO: a global weighted model for Disease Ontology enrichment analysis'
  authors:
  - family-names: Yang
    given-names: Haixiu
    email: yanghaixiu@ems.hrbmu.edu.cn
  - family-names: Fu
    given-names: Hongyu
    email: 2287531995@qq.com
  - family-names: Zhang
    given-names: Meiyi
  - family-names: Liu
    given-names: Yangyang
  - family-names: He
    given-names: Yongqun
  - family-names: Wang
    given-names: Chao
  - family-names: Cheng
    given-names: Liang
    email: liangcheng@hrbmu.edu.cn
  journal: GigaScience
  year: '2025'
  volume: '14'
  doi: 10.1093/gigascience/giaf021
repository: https://bioc-release.r-universe.dev
commit: 3e7cb7cf6d82028482853b49172bd5e0b9667edc
date-released: '2026-04-28'
contact:
- family-names: Fu
  given-names: Hongyu
  email: 2287531995@qq.com