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

Zhu, Yuan; Zhang, Feng; Zhang, Shihua; Yi, Ming

Zhu, Yuan; Zhang, Feng; Zhang, Shihua; Yi, Ming.

Afiliação

Zhu Y; 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
Zhang F; School of Mathematics and Physics, China University of Geosciences, 388 Lumo Road, Hongshan District, 430074, Wuhan, Hubei, China.
Zhang S; 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.
Yi M; School of Mathematics and Physics, China University of Geosciences, 388 Lumo Road, Hongshan District, 430074, Wuhan, Hubei, China. Electronic address: mingyi@cug.edu.cn.

Methods ; 211: 1-9, 2023 03.

Article em En | MEDLINE | ID: mdl-36709790

Assuntos

Neoplasias; RNA Longo não Codificante; Humanos; RNA Longo não Codificante/genética; Neoplasias/genética; Biologia Computacional; Algoritmos

Palavras-chave

Cancer metastatic events; Interaction prediction; Variational graph auto-encoder; lncRNA

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Longo não Codificante / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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