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A structural deep network embedding model for predicting associations between miRNA and disease based on molecular association network.
Li, Hao-Yuan; Chen, Hai-Yan; Wang, Lei; Song, Shen-Jian; You, Zhu-Hong; Yan, Xin; Yu, Jin-Qian.
  • Li HY; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China.
  • Chen HY; Xinjiang Autonomous Region tax Service, State Taxation Administration, Urumqi, 830011, China.
  • Wang L; Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China. leiwang@ms.xjb.ac.cn.
  • Song SJ; Science & Technology Department of Xinjiang Uygur Autonomous Region, Urumqi, 830011, China. ArchibaldDaniel@163.com.
  • You ZH; Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China.
  • Yan X; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China.
  • Yu JQ; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China.
Sci Rep ; 11(1): 12640, 2021 06 16.
Article en En | MEDLINE | ID: mdl-34135401

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Biología Computacional / MicroARNs / Neoplasias Renales / Linfoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Biología Computacional / MicroARNs / Neoplasias Renales / Linfoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Año: 2021 Tipo del documento: Article