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Predicting latent lncRNA and cancer metastatic event associations via variational graph auto-encoder.

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第一作者： Yuan,Zhu

第一单位： School of Automation, China University of Geosciences, 388 Lumo Road, Hongshan District, 430074, Wuhan, Hubei, China; Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, 388 Lumo Road, Hongshan District, 430074, Wuhan, Hubei, China; Engineering Research Center of Intelligent Technology for Geo-Exploration, 388 Lumo Road, Hongshan District, 430074, Wuhan, Hubei, China.

作者： Yuan,Zhu ^[1] ; Feng,Zhang ^[2] ; Shihua,Zhang ^[3] ; Ming,Yi ^[4]

作者单位： School of Automation, China University of Geosciences, 388 Lumo Road, Hongshan District, 430074, Wuhan, Hubei, China; Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, 388 Lumo Road, Hongshan District, 430074, Wuhan, Hubei, China; Engineering Research Center of Intelligent Technology for Geo-Exploration, 388 Lumo Road, Hongshan District, 430074, Wuhan, Hubei, China. ^[1] School of Mathematics and Physics, China University of Geosciences, 388 Lumo Road, Hongshan District, 430074, Wuhan, Hubei, China. ^[2] College of Life Science and Health, Wuhan University of Science and Technology, 974 Heping Avenue, Qingshan District, 430081, Wuhan, Hubei, China. Electronic address: shihuazhang@wust.edu.cn. ^[3] School of Mathematics and Physics, China University of Geosciences, 388 Lumo Road, Hongshan District, 430074, Wuhan, Hubei, China. Electronic address: mingyi@cug.edu.cn. ^[4]

关键词 Cancer metastatic events Interaction prediction Variational graph auto-encoder lncRNA

医学主题词人类(Humans);肿瘤(Neoplasms);计算生物学(Computational Biology);算法(Algorithms)

DOI 10.1016/j.ymeth.2023.01.006

PMID 36709790

发布时间 2023-03-15

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