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SUITOR: Selecting the number of mutational signatures through cross-validation.
Lee, Donghyuk; Wang, Difei; Yang, Xiaohong R; Shi, Jianxin; Landi, Maria Teresa; Zhu, Bin.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-35377867
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Neoplasms Type of study: Prognostic_studies Limits: Female / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article Country of publication: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Neoplasms Type of study: Prognostic_studies Limits: Female / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article Country of publication: United States