Your browser doesn't support javascript.
loading
Prediction and interpretation of cancer survival using graph convolution neural networks.
Ramirez, Ricardo; Chiu, Yu-Chiao; Zhang, SongYao; Ramirez, Joshua; Chen, Yidong; Huang, Yufei; Jin, Yu-Fang.
Afiliación
  • Ramirez R; Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA.
  • Chiu YC; Greehey Children's Cancer Research Institute, The University of Texas Health San Antonio, San Antonio, Texas 78229, USA.
  • Zhang S; Key Laboratory of Information Fusion Technology of Ministry of Education, Department of Intelligent Science And Technology, School of Automation, Northwestern Polytechnical University, Xí'an, China.
  • Ramirez J; Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA.
  • Chen Y; Greehey Children's Cancer Research Institute, The University of Texas Health San Antonio, San Antonio, Texas 78229, USA; Department of Population Health Sciences, The University of Texas Health San Antonio, San Antonio, TX 78229, USA.
  • Huang Y; Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA; Department of Population Health Sciences, The University of Texas Health San Antonio, San Antonio, TX 78229, USA.
  • Jin YF; Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA. Electronic address: yufang.jin@utsa.edu.
Methods ; 192: 120-130, 2021 08.
Article en En | MEDLINE | ID: mdl-33484826

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos