Accurate prediction of pan-cancer types using machine learning with minimal number of DNA methylation sites.

Ning, Wei; Wu, Tao; Wu, Chenxu; Wang, Shixiang; Tao, Ziyu; Wang, Guangshuai; Zhao, Xiangyu; Diao, Kaixuan; Wang, Jinyu; Chen, Jing; Chen, Fuxiang; Liu, Xue-Song

Ning, Wei; Wu, Tao; Wu, Chenxu; Wang, Shixiang; Tao, Ziyu; Wang, Guangshuai; Zhao, Xiangyu; Diao, Kaixuan; Wang, Jinyu; Chen, Jing; Chen, Fuxiang; Liu, Xue-Song.

Afiliación

Ning W; School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.
Wu T; Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Wu C; University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, China.
Wang S; School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.
Tao Z; School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.
Wang G; School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.
Zhao X; School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.
Diao K; School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.
Wang J; School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.
Chen J; School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.
Chen F; School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.
Liu XS; School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.

J Mol Cell Biol ; 15(4)2023 08 03.

Article en En | MEDLINE | ID: mdl-37037781

Asunto(s)

Metilación de ADN; Neoplasias; Humanos; Metilación de ADN/genética; Neoplasias/diagnóstico; Neoplasias/genética; Aprendizaje Automático; Secuencia de Bases

Palabras clave

DNA methylation; MethyDeep; cancer type prediction; deep neural network (DNN); machine learning

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Metilación de ADN / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Mol Cell Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: China

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