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SGANRDA: semi-supervised generative adversarial networks for predicting circRNA-disease associations.
Wang, Lei; Yan, Xin; You, Zhu-Hong; Zhou, Xi; Li, Hao-Yuan; Huang, Yu-An.
Affiliation
  • Wang L; Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China.
  • Yan X; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China.
  • You ZH; Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China.
  • Zhou X; Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China.
  • Li HY; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China.
  • Huang YA; Department of Computing, Hong Kong Polytechnic University, Hong Kong, China.
Brief Bioinform ; 22(5)2021 09 02.
Article in En | MEDLINE | ID: mdl-33734296
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Osteoarthritis / Gene Regulatory Networks / Deep Learning / RNA, Circular / Multiple Sclerosis / Myocardial Infarction / Neoplasms Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: China
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Osteoarthritis / Gene Regulatory Networks / Deep Learning / RNA, Circular / Multiple Sclerosis / Myocardial Infarction / Neoplasms Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: China