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Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary.
Moon, Intae; LoPiccolo, Jaclyn; Baca, Sylvan C; Sholl, Lynette M; Kehl, Kenneth L; Hassett, Michael J; Liu, David; Schrag, Deborah; Gusev, Alexander.
Afiliação
  • Moon I; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • LoPiccolo J; Division of Population Sciences, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
  • Baca SC; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Sholl LM; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Kehl KL; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Hassett MJ; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Liu D; Division of Population Sciences, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
  • Schrag D; Division of Population Sciences, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
  • Gusev A; Division of Population Sciences, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
Nat Med ; 29(8): 2057-2067, 2023 08.
Article em En | MEDLINE | ID: mdl-37550415
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Primárias Desconhecidas 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 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Primárias Desconhecidas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article