Prediction of potential small molecule-miRNA associations based on heterogeneous network representation learning.

Li, Jianwei; Lin, Hongxin; Wang, Yinfei; Li, Zhiguang; Wu, Baoqin

Li, Jianwei; Lin, Hongxin; Wang, Yinfei; Li, Zhiguang; Wu, Baoqin.

Afiliação

Li J; School of Artificial Intelligence, Institute of Computational Medicine, Hebei University of Technology, Tianjin, China.
Lin H; Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China.
Wang Y; School of Artificial Intelligence, Institute of Computational Medicine, Hebei University of Technology, Tianjin, China.
Li Z; School of Artificial Intelligence, Institute of Computational Medicine, Hebei University of Technology, Tianjin, China.
Wu B; School of Artificial Intelligence, Institute of Computational Medicine, Hebei University of Technology, Tianjin, China.

Front Genet ; 13: 1079053, 2022.

Article em En | MEDLINE | ID: mdl-36531225

Palavras-chave

heterogeneous information; heterogeneous network representation learning; lightgbm; machine learning; small molecule-miRNA association prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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