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Computational methods, databases and tools for synthetic lethality prediction.
Wang, Jing; Zhang, Qinglong; Han, Junshan; Zhao, Yanpeng; Zhao, Caiyun; Yan, Bowei; Dai, Chong; Wu, Lianlian; Wen, Yuqi; Zhang, Yixin; Leng, Dongjin; Wang, Zhongming; Yang, Xiaoxi; He, Song; Bo, Xiaochen.
Afiliación
  • Wang J; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Zhang Q; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Han J; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Zhao Y; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Zhao C; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Yan B; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Dai C; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Wu L; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Wen Y; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Zhang Y; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Leng D; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Wang Z; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Yang X; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • He S; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
  • Bo X; Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing 100850, China.
Brief Bioinform ; 23(3)2022 05 13.
Article en En | MEDLINE | ID: mdl-35352098
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Mutaciones Letales Sintéticas / Neoplasias Tipo de estudio: 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 Bases de datos: MEDLINE Asunto principal: Mutaciones Letales Sintéticas / Neoplasias Tipo de estudio: 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