Robust Prognostic Subtyping of Muscle-Invasive Bladder Cancer Revealed by Deep Learning-Based Multi-Omics Data Integration.

Zhang, Xiaolong; Wang, Jiayin; Lu, Jiabin; Su, Lili; Wang, Changxi; Huang, Yuhua; Zhang, Xuanping; Zhu, Xiaoyan

Zhang, Xiaolong; Wang, Jiayin; Lu, Jiabin; Su, Lili; Wang, Changxi; Huang, Yuhua; Zhang, Xuanping; Zhu, Xiaoyan.

Afiliação

Zhang X; School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China.
Wang J; Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Lu J; School of Medicine, Shenzhen University, Shenzhen, China.
Su L; School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China.
Wang C; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Huang Y; School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China.
Zhang X; School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China.
Zhu X; Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.

Front Oncol ; 11: 689626, 2021.

Article em En | MEDLINE | ID: mdl-34422643

Palavras-chave

deep learning; multi-omics; muscle-invasive bladder cancer; prognosis; subtyping

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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