Prediction of lncRNA-disease associations via an embedding learning HOPE in heterogeneous information networks.

Zhou, Ji-Ren; You, Zhu-Hong; Cheng, Li; Ji, Bo-Ya

Zhou, Ji-Ren; You, Zhu-Hong; Cheng, Li; Ji, Bo-Ya.

Afiliação

Zhou JR; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
You ZH; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Cheng L; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Ji BY; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.

Mol Ther Nucleic Acids ; 23: 277-285, 2021 Mar 05.

Article em En | MEDLINE | ID: mdl-33425486

Palavras-chave

deep learning; heterogeneous information networks; lncRNA-disease associations; rotation forest

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Ther Nucleic Acids Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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