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CEDA: integrating gene expression data with CRISPR-pooled screen data identifies essential genes with higher expression.
Zhao, Yue; Yu, Lianbo; Wu, Xue; Li, Haoran; Coombes, Kevin R; Au, Kin Fai; Cheng, Lijun; Li, Lang.
Afiliação
  • Zhao Y; Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
  • Yu L; Biomedical Informatics Shared Resources, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA.
  • Wu X; Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
  • Li H; Center for Biostatistics, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
  • Coombes KR; Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
  • Au KF; Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
  • Cheng L; Department of Population Health Sciences, Georgia Cancer Center at Augusta University, Augusta, GA 30912, USA.
  • Li L; Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
Bioinformatics ; 38(23): 5245-5252, 2022 11 30.
Article em En | MEDLINE | ID: mdl-36250792
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genes Essenciais / Repetições Palindrômicas Curtas Agrupadas e Regularmente Espaçadas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genes Essenciais / Repetições Palindrômicas Curtas Agrupadas e Regularmente Espaçadas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article