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Kinome inhibition states and multiomics data enable prediction of cell viability in diverse cancer types.
Berginski, Matthew E; Joisa, Chinmaya U; Golitz, Brian T; Gomez, Shawn M.
Afiliação
  • Berginski ME; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Joisa CU; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, North Carolina, United States of America.
  • Golitz BT; Eshelman Institute for Innovation, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Gomez SM; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
PLoS Comput Biol ; 19(2): e1010888, 2023 02.
Article em En | MEDLINE | ID: mdl-36809237
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article