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

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第一作者： Wei,Ning

第一单位： School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.;Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.;University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, China.

作者： Wei,Ning ^[1] ; Tao,Wu ^[2] ; Chenxu,Wu ^[2] ; Shixiang,Wang ^[2] ; Ziyu,Tao ^[2] ; Guangshuai,Wang ^[2] ; Xiangyu,Zhao ^[2] ; Kaixuan,Diao ^[2] ; Jinyu,Wang ^[2] ; Jing,Chen ^[2] ; Fuxiang,Chen ^[3] ; Xue-Song,Liu ^[2]

作者单位： School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China.;Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.;University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, China. ^[1] School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China. ^[2] Department of Clinical Immunology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China. ^[3]

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

主题词人类(Humans);DNA甲基化(DNA Methylation);肿瘤(Neoplasms);碱基序列(Base Sequence)

DOI 10.1093/jmcb/mjad023

PMID 37037781

发布时间 2024-01-11

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