Comprehensive prediction of robust synthetic lethality between paralog pairs in cancer cell lines.

De Kegel, Barbara; Quinn, Niall; Thompson, Nicola A; Adams, David J; Ryan, Colm J

De Kegel, Barbara; Quinn, Niall; Thompson, Nicola A; Adams, David J; Ryan, Colm J.

Afiliação

De Kegel B; School of Computer Science, University College Dublin, Dublin, Ireland; Systems Biology Ireland, University College Dublin, Dublin, Ireland.
Quinn N; School of Computer Science, University College Dublin, Dublin, Ireland; Systems Biology Ireland, University College Dublin, Dublin, Ireland.
Thompson NA; Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Adams DJ; Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Ryan CJ; School of Computer Science, University College Dublin, Dublin, Ireland; Systems Biology Ireland, University College Dublin, Dublin, Ireland. Electronic address: colm.ryan@ucd.ie.

Cell Syst ; 12(12): 1144-1159.e6, 2021 12 15.

Article em En | MEDLINE | ID: mdl-34529928

Assuntos

Neoplasias; Mutações Sintéticas Letais; Linhagem Celular Tumoral; Humanos; Aprendizado de Máquina; Neoplasias/genética; Mutações Sintéticas Letais/genética

Palavras-chave

CRISPR screens; cancer; gene duplication; genetic interactions; machine learning; paralogs; precision medicine; synthetic lethality

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mutações Sintéticas Letais / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Cell Syst Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irlanda

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