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Comprehensive evaluation of computational methods for predicting cancer driver genes.
Shi, Xiaohui; Teng, Huajing; Shi, Leisheng; Bi, Wenjian; Wei, Wenqing; Mao, Fengbiao; Sun, Zhongsheng.
Afiliación
  • Shi X; Beijing Institutes of Life Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing 100080, China.
  • Teng H; Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education) at Peking University Cancer Hospital and Institute, Beijing 100080, China.
  • Shi L; Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100080, China.
  • Bi W; Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing 100080, China.
  • Wei W; Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100080, China.
  • Mao F; Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100080, China.
  • Sun Z; Beijing Institutes of Life Science, Chinese Academy of Sciences, CAS Center for Excellence in Biotic Interactions and State Key Laboratory of Integrated Management of Pest Insects and Rodents, University of Chinese Academy of Sciences, Institute of Genomic Medicine, Wenzhou Medical University, IBMC-
Brief Bioinform ; 23(2)2022 03 10.
Article en En | MEDLINE | ID: mdl-35037014
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Oncogenes / Neoplasias Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_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 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Oncogenes / Neoplasias Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_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