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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 "meshes" in publications use:'
type: software
license: Artistic-2.0
title: 'meshes: MeSH Enrichment and Semantic analyses'
version: 1.31.1
doi: 10.1093/bioinformatics/bty410
identifiers:
- type: doi
  value: 10.32614/CRAN.package.meshes
abstract: MeSH (Medical Subject Headings) is the NLM controlled vocabulary used to
  manually index articles for MEDLINE/PubMed. MeSH terms were associated by Entrez
  Gene ID by three methods, gendoo, gene2pubmed and RBBH. This association is fundamental
  for enrichment and semantic analyses. meshes supports enrichment analysis (over-representation
  and gene set enrichment analysis) of gene list or whole expression profile. The
  semantic comparisons of MeSH terms provide quantitative ways to compute similarities
  between genes and gene groups. meshes implemented five methods proposed by Resnik,
  Schlicker, Jiang, Lin and Wang respectively and supports more than 70 species.
authors:
- family-names: Yu
  given-names: Guangchuang
  email: guangchuangyu@gmail.com
preferred-citation:
  type: article
  title: Using meshes for MeSH term enrichment and semantic analyses
  authors:
  - family-names: Yu
    given-names: Guangchuang
    email: guangchuangyu@gmail.com
  journal: Bioinformatics
  year: '2018'
  volume: '34'
  issue: '21'
  doi: 10.1093/bioinformatics/bty410
  start: 3766-3767
repository: https://bioc.r-universe.dev
repository-code: https://github.com/GuangchuangYu/meshes
commit: 46d29f44cf037d6cca3caf98f178fc4418bd037d
url: https://yulab-smu.top/biomedical-knowledge-mining-book/
contact:
- family-names: Yu
  given-names: Guangchuang
  email: guangchuangyu@gmail.com