Variational graph auto-encoders for miRNA-disease association prediction.

Ding, Yulian; Tian, Li-Ping; Lei, Xiujuan; Liao, Bo; Wu, Fang-Xiang

Ding, Yulian; Tian, Li-Ping; Lei, Xiujuan; Liao, Bo; Wu, Fang-Xiang.

Afiliação

Ding Y; Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada.
Tian LP; School of Information, Beijing Wuzi University, Beijing 101125, China.
Lei X; School of Computer Science, Shaanxi Normal University, Xi'an 710119, China.
Liao B; School of Mathematics and Statistics, Hainan Normal University, Haikou 571158, China.
Wu FX; Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada; Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada; Department of Computer Science, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada. Electronic addres

Methods ; 192: 25-34, 2021 08.

Article em En | MEDLINE | ID: mdl-32798654

Assuntos

MicroRNAs/genética; Algoritmos; Biologia Computacional; Humanos; Redes Neurais de Computação

Palavras-chave

Deep learning; Graph convolutional network; Variational autoencoder; miRNA-disease association

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: MicroRNAs Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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