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Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization.
Ouyang, Dong; Liang, Yong; Wang, Jianjun; Liu, Xiaoying; Xie, Shengli; Miao, Rui; Ai, Ning; Li, Le; Dang, Qi.
  • Ouyang D; Peng Cheng Laboratory, Shenzhen 518055, China.
  • Liang Y; School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau 999078, China.
  • Wang J; Peng Cheng Laboratory, Shenzhen 518055, China.
  • Liu X; School of Mathematics and Statistics, Southwest University, Chongqing 400715, China.
  • Xie S; Computer Engineering Technical College, Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China.
  • Miao R; Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing, Guangzhou 510000, China.
  • Ai N; Basic Teaching Department, ZhuHai Campus of ZunYi Medical University, Zhuhai 519090, China.
  • Li L; School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau 999078, China.
  • Dang Q; School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau 999078, China.
Brief Bioinform ; 23(6)2022 11 19.
Article en En | MEDLINE | ID: mdl-36168938

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article