MSINGB: A Novel Computational Method Based on NGBoost for Identifying Microsatellite Instability Status from Tumor Mutation Annotation Data.

Chen, Jinxiang; Wang, Miao; Zhao, Defeng; Li, Fuyi; Wu, Hao; Liu, Quanzhong; Li, Shuqin

Chen, Jinxiang; Wang, Miao; Zhao, Defeng; Li, Fuyi; Wu, Hao; Liu, Quanzhong; Li, Shuqin.

Afiliación

Chen J; College of Information Engineering, Northwest A&F University, Yangling, 712100, Shanxi, China.
Wang M; College of Information Engineering, Northwest A&F University, Yangling, 712100, Shanxi, China.
Zhao D; College of Information Engineering, Northwest A&F University, Yangling, 712100, Shanxi, China.
Li F; Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth Street, Melbourne, VIC, 3000, Australia.
Wu H; School of Software, Shandong University, Jinan, 250100, Shandong, China.
Liu Q; College of Information Engineering, Northwest A&F University, Yangling, 712100, Shanxi, China. liuqzhong@nwsuaf.edu.cn.
Li S; College of Information Engineering, Northwest A&F University, Yangling, 712100, Shanxi, China. lsq_cie@nwsuaf.edu.cn.

Interdiscip Sci ; 15(1): 100-110, 2023 Mar.

Article en En | MEDLINE | ID: mdl-36350503

Asunto(s)

Neoplasias Encefálicas; Neoplasias Colorrectales; Humanos; Inestabilidad de Microsatélites; Neoplasias Colorrectales/genética; Mutación; Fenotipo; Repeticiones de Microsatélite

Palabras clave

Feature selection; Machine learning; Microsatellite instability; NGBoost

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Neoplasias Colorrectales Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Interdiscip Sci Asunto de la revista: BIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China

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