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InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.
Yang, Hai; Liu, Yawen; Yang, Yijing; Li, Dongdong; Wang, Zhe.
Afiliação
  • Yang H; Department of Computer Science and Engineering, East China University of Science and Technology, 200237, Shanghai, PR China.
  • Liu Y; Department of Computer Science and Engineering, East China University of Science and Technology, 200237, Shanghai, PR China.
  • Yang Y; Department of Computer Science, University of Illinois Urbana-Champaign, Champaign, Illinois, United States of America.
  • Li D; Department of Computer Science and Engineering, East China University of Science and Technology, 200237, Shanghai, PR China.
  • Wang Z; Department of Computer Science and Engineering, East China University of Science and Technology, 200237, Shanghai, PR China.
Brief Bioinform ; 24(5)2023 09 20.
Article em En | MEDLINE | ID: mdl-37649392
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article