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# CITATION.cff 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 "COSG" in publications use:'
type: software
title: 'COSG: Marker Gene Identification for Single Cell Sequencing Data'
version: 1.0.0
doi: 10.1093/bib/bbab579
identifiers:
- type: doi
  value: 10.32614/CRAN.package.COSG
abstract: COSG is designed for accurate and ultra-fast marker gene identification
  in single-cell sequencing data. COSG can not only be applied to single-cell RNA-seq
  data, but also single-cell ATAC-seq data and spatial transcriptomics.
authors:
- family-names: Dai
  given-names: Min
  email: daimin@zju.edu.cn
  orcid: https://orcid.org/0000-0001-7584-5014
preferred-citation:
  type: article
  title: Accurate and fast cell marker gene identification with COSG
  authors:
  - family-names: Dai
    given-names: Min
    email: daimin@zju.edu.cn
    orcid: https://orcid.org/0000-0001-7584-5014
  - family-names: Pei
    given-names: Xiaobing
  - family-names: Wang
    given-names: Xiu-Jie
  journal: Briefings in Bioinformatics
  year: '2022'
  volume: '23'
  issue: '2'
  doi: 10.1093/bib/bbab579
  start: bbab579
repository: https://genecell.r-universe.dev
repository-code: https://github.com/genecell/COSGR
commit: a1d58ca262a1138cab758ee16b343964b4ec4aae
url: https://github.com/genecell/COSGR
date-released: '2021-06-17'
contact:
- family-names: Dai
  given-names: Min
  email: daimin@zju.edu.cn
  orcid: https://orcid.org/0000-0001-7584-5014