Your browser doesn't support javascript.
loading
SGAE-MDA: Exploring the MiRNA-disease associations in herbal medicines based on semi-supervised graph autoencoder.
Xu, Lei; Fu, Xiangzheng; Zhuo, Linlin; Zhou, Zhecheng; Liao, Xuefeng; Tian, Sha; Kang, Ruofei; Chen, Yifan.
Affiliation
  • Xu L; Wenzhou University of Technology, Wenzhou, China.
  • Fu X; Neher's Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China; College of Information Science and Engineering, Hunan Univ
  • Zhuo L; Wenzhou University of Technology, Wenzhou, China.
  • Zhou Z; Wenzhou University of Technology, Wenzhou, China.
  • Liao X; Wenzhou University of Technology, Wenzhou, China. Electronic address: fengxueliao@126.com.
  • Tian S; Department of Internal Medicine, College of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China. Electronic address: 003942@hnucm.edu.cn.
  • Kang R; Xuhui Excellent Health Information Technology Co., Ltd., China.
  • Chen Y; College of Information Science and Engineering, Hunan University, Changsha, Hunan, China. Electronic address: cyf176@hnu.edu.cn.
Methods ; 221: 73-81, 2024 01.
Article in En | MEDLINE | ID: mdl-38123109
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: MicroRNAs Language: En Journal: Methods Journal subject: BIOQUIMICA Year: 2024 Type: Article Affiliation country: China
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: MicroRNAs Language: En Journal: Methods Journal subject: BIOQUIMICA Year: 2024 Type: Article Affiliation country: China