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Deleterious synonymous mutation identification based on selective ensemble strategy.
Wang, Lihua; Zhang, Tao; Yu, Lihong; Zheng, Chun-Hou; Yin, Wenguang; Xia, Junfeng; Zhang, Tiejun.
Afiliación
  • Wang L; GMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, State Key Laboratory of Respiratory Disease, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Guangzhou Medical University, Guangzho
  • Zhang T; Institutes of Physical Science and Information Technology and School of Computer Science and Technology, Anhui University, Hefei, Anhui 230601, China.
  • Yu L; Institutes of Physical Science and Information Technology and School of Computer Science and Technology, Anhui University, Hefei, Anhui 230601, China.
  • Zheng CH; GMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou, Guangdong 511436, China.
  • Yin W; Institutes of Physical Science and Information Technology and School of Computer Science and Technology, Anhui University, Hefei, Anhui 230601, China.
  • Xia J; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510180, China.
  • Zhang T; Institutes of Physical Science and Information Technology and School of Computer Science and Technology, Anhui University, Hefei, Anhui 230601, China.
Brief Bioinform ; 24(1)2023 01 19.
Article en En | MEDLINE | ID: mdl-36611253

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Mutación Silenciosa Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Mutación Silenciosa Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article