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A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction.
Tan, Kaiwen; Huang, Weixian; Hu, Jinlong; Dong, Shoubin.
  • Tan K; Communication & Computer Network Lab of Guangdong, School of Computer Science & Engineering, South China University of Technology, Wushan Road, Guangzhou, 381, China.
  • Huang W; Communication & Computer Network Lab of Guangdong, School of Computer Science & Engineering, South China University of Technology, Wushan Road, Guangzhou, 381, China.
  • Hu J; Communication & Computer Network Lab of Guangdong, School of Computer Science & Engineering, South China University of Technology, Wushan Road, Guangzhou, 381, China.
  • Dong S; Communication & Computer Network Lab of Guangdong, School of Computer Science & Engineering, South China University of Technology, Wushan Road, Guangzhou, 381, China. sbdong@scut.edu.cn.
BMC Med Inform Decis Mak ; 20(Suppl 3): 129, 2020 07 09.
Article en En | MEDLINE | ID: mdl-32646413
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article