SUITOR: Selecting the number of mutational signatures through cross-validation.

Lee, Donghyuk; Wang, Difei; Yang, Xiaohong R; Shi, Jianxin; Landi, Maria Teresa; Zhu, Bin

Lee, Donghyuk; Wang, Difei; Yang, Xiaohong R; Shi, Jianxin; Landi, Maria Teresa; Zhu, Bin.

Afiliación

Lee D; Department of Statistics, Pusan National University, Busan, Korea.
Wang D; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Yang XR; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Shi J; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Landi MT; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Zhu B; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.

PLoS Comput Biol ; 18(4): e1009309, 2022 04.

Article en En | MEDLINE | ID: mdl-35377867

Asunto(s)

Neoplasias de la Mama; Neoplasias; Neoplasias de la Mama/genética; Simulación por Computador; Femenino; Genómica; Humanos; Mutación/genética

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Neoplasias Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

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