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HiRAND: A novel GCN semi-supervised deep learning-based framework for classification and feature selection in drug research and development.
Huang, Yue; Rong, Zhiwei; Zhang, Liuchao; Xu, Zhenyi; Ji, Jianxin; He, Jia; Liu, Weisha; Hou, Yan; Li, Kang.
Afiliación
  • Huang Y; Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
  • Rong Z; Department of Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Zhang L; Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
  • Xu Z; Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
  • Ji J; Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
  • He J; Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
  • Liu W; Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
  • Hou Y; Department of Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Li K; Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Front Oncol ; 13: 1047556, 2023.
Article en En | MEDLINE | ID: mdl-36776339
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Oncol Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Oncol Año: 2023 Tipo del documento: Article