Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes.

Lu, Yuxing; Peng, Rui; Dong, Lingkai; Xia, Kun; Wu, Renjie; Xu, Shuai; Wang, Jinzhuo

Lu, Yuxing; Peng, Rui; Dong, Lingkai; Xia, Kun; Wu, Renjie; Xu, Shuai; Wang, Jinzhuo.

Afiliación

Lu Y; Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, China.
Peng R; Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, China.
Dong L; Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Xia K; Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, China.
Wu R; School of Life Sciences, Peking University, Beijing, China.
Xu S; Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
Wang J; Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, China.

Brief Bioinform ; 24(6)2023 09 22.

Article en En | MEDLINE | ID: mdl-37889117

Asunto(s)

Inteligencia Artificial; Neoplasias; Humanos; Multiómica; Neoplasias/diagnóstico; Neoplasias/genética; Aprendizaje

Palabras clave

biomarker identification; cancer diagnosis and prognosis; dynamic learning; multiomics Integration

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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