Functional and embedding feature analysis for pan-cancer classification.

Lu, Jian; Li, JiaRui; Ren, Jingxin; Ding, Shijian; Zeng, Zhenbing; Huang, Tao; Cai, Yu-Dong

Lu, Jian; Li, JiaRui; Ren, Jingxin; Ding, Shijian; Zeng, Zhenbing; Huang, Tao; Cai, Yu-Dong.

Afiliación

Lu J; Department of Mathematics, School of Sciences, Shanghai University, Shanghai, China.
Li J; CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Science, Shanghai, China.
Ren J; Advanced Research Computing, University of British Columbia, Vancouver, BC, Canada.
Ding S; School of Life Sciences, Shanghai University, Shanghai, China.
Zeng Z; School of Life Sciences, Shanghai University, Shanghai, China.
Huang T; Department of Mathematics, School of Sciences, Shanghai University, Shanghai, China.
Cai YD; CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Science, Shanghai, China.

Front Oncol ; 12: 979336, 2022.

Article en En | MEDLINE | ID: mdl-36248961

Palabras clave

cancer mutation; embedding; enrichment; feature selection; pan-cancer; rule learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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