Your browser doesn't support javascript.
loading
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.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-37550415
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Primarias Desconocidas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Primarias Desconocidas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos