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TSomVar: a tumor-only somatic and germline variant identification method with random forest.
Shi, Shuo; Wang, Qi; Shang, Yunfei; Bu, Congfan; Lu, Mingming; Jiang, Meiye; Zhang, Hao; Yu, Shuhuan; Zeng, Jingyao; Zhang, Zaichao; Du, Zhenglin; Xiao, Jingfa.
Afiliación
  • Shi S; National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  • Wang Q; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  • Shang Y; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Bu C; Burning Rock Biotech Ltd, Shanghai 201114, China.
  • Lu M; National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  • Jiang M; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  • Zhang H; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Yu S; Qujiang Culture Finance Holding (Group) Co., Ltd, Xian 710061, China.
  • Zeng J; National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  • Zhang Z; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  • Du Z; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Xiao J; National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
Brief Bioinform ; 23(5)2022 09 20.
Article en En | MEDLINE | ID: mdl-36088550
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Neoplasias Colorrectales / Melanoma / Neoplasias Tipo de estudio: Clinical_trials / Diagnostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Neoplasias Colorrectales / Melanoma / Neoplasias Tipo de estudio: Clinical_trials / Diagnostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China