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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 "ReporterScore" in publications use:'
type: software
license: GPL-3.0-only
title: 'ReporterScore: Generalized Reporter Score-Based Enrichment Analysis for Omics
  Data'
version: 0.1.8
doi: 10.1093/bib/bbae116
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ReporterScore
abstract: Inspired by the classic 'RSA', we developed the improved 'Generalized Reporter
  Score-based Analysis (GRSA)' method, implemented in the R package 'ReporterScore',
  along with comprehensive visualization methods and pathway databases. 'GRSA' is
  a threshold-free method that works well with all types of biomedical features, such
  as genes, chemical compounds, and microbial species. Importantly, the 'GRSA' supports
  multi-group and longitudinal experimental designs, because of the included multi-group-compatible
  statistical methods.
authors:
- family-names: Peng
  given-names: Chen
  email: pengchen2001@zju.edu.cn
  orcid: https://orcid.org/0000-0002-9449-7606
preferred-citation:
  type: article
  title: Generalized reporter score-based enrichment analysis for omics data
  authors:
  - family-names: Peng
    given-names: Chen
    email: pengchen2001@zju.edu.cn
    orcid: https://orcid.org/0000-0002-9449-7606
  - family-names: Chen
    given-names: Qiong
  - family-names: Tan
    given-names: Shangjin
  - family-names: Shen
    given-names: Xiaotao
  - family-names: Jiang
    given-names: Chao
  year: '2024'
  journal: Briefings in Bioinformatics
  doi: 10.1093/bib/bbae116
  volume: Volume 25
  url: https://doi.org/10.1093/bib/bbae116
repository: https://CRAN.R-project.org/package=ReporterScore
repository-code: https://github.com/Asa12138/ReporterScore
url: https://github.com/Asa12138/ReporterScore
date-released: '2024-08-26'
contact:
- family-names: Peng
  given-names: Chen
  email: pengchen2001@zju.edu.cn
  orcid: https://orcid.org/0000-0002-9449-7606