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A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer.
Cario, Clinton L; Chen, Emmalyn; Leong, Lancelote; Emami, Nima C; Lopez, Karen; Tenggara, Imelda; Simko, Jeffry P; Friedlander, Terence W; Li, Patricia S; Paris, Pamela L; Carroll, Peter R; Witte, John S.
Afiliación
  • Cario CL; Program in Biological and Medical Informatics, University of California, San Francisco, California, 94158, USA.
  • Chen E; Department of Epidemiology and Biostatistics, University of California, San Francisco, California, 94158, USA.
  • Leong L; Department of Epidemiology and Biostatistics, University of California, San Francisco, California, 94158, USA.
  • Emami NC; Department of Epidemiology and Biostatistics, University of California, San Francisco, California, 94158, USA.
  • Lopez K; Program in Biological and Medical Informatics, University of California, San Francisco, California, 94158, USA.
  • Tenggara I; Department of Epidemiology and Biostatistics, University of California, San Francisco, California, 94158, USA.
  • Simko JP; Department of Urology, University of California, San Francisco, California, 94158, USA.
  • Friedlander TW; Department of Urology, University of California, San Francisco, California, 94158, USA.
  • Li PS; Department of Urology, University of California, San Francisco, California, 94158, USA.
  • Paris PL; Department of Anatomic Pathology, University of California, San Francisco, California, 94158, USA.
  • Carroll PR; Division of Hematology/Oncology, University of California, San Francisco, California, 94158, USA.
  • Witte JS; Division of Hematology/Oncology, University of California, San Francisco, California, 94158, USA.
BMC Cancer ; 20(1): 820, 2020 Aug 28.
Article en En | MEDLINE | ID: mdl-32859160

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Secuencia de Bases / Genoma Humano / Aprendizaje Automático / ADN Tumoral Circulante Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: BMC Cancer Asunto de la revista: NEOPLASIAS Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Secuencia de Bases / Genoma Humano / Aprendizaje Automático / ADN Tumoral Circulante Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: BMC Cancer Asunto de la revista: NEOPLASIAS Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido