DF-MDA: An effective diffusion-based computational model for predicting miRNA-disease association.

Li, Hao-Yuan; You, Zhu-Hong; Wang, Lei; Yan, Xin; Li, Zheng-Wei

Li, Hao-Yuan; You, Zhu-Hong; Wang, Lei; Yan, Xin; Li, Zheng-Wei.

Afiliação

Li HY; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.
You ZH; Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China. Electronic address: zhuhongyou@ms.xjb.ac.cn.
Wang L; Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China; College of Information Science and Engineering, Zaozhuang University, Zaozhuang 277100, China. Electronic address: leiwang@ms.xjb.ac.cn.
Yan X; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China; School of Foreign Languages, Zaozhuang University, Zaozhuang, Shandong 277100, China. Electronic address: xinyanuzz@gmail.com.
Li ZW; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.

Mol Ther ; 29(4): 1501-1511, 2021 04 07.

Article em En | MEDLINE | ID: mdl-33429082

Assuntos

Biologia Computacional; Doenças Genéticas Inatas/genética; Predisposição Genética para Doença; MicroRNAs/genética; Algoritmos; Bases de Dados Genéticas; Doenças Genéticas Inatas/diagnóstico; Humanos; RNA Longo não Codificante/genética

Palavras-chave

diffusion model; heterogeneous molecular network; machine learning; miRNA-disease association; random forest

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Predisposição Genética para Doença / MicroRNAs / Doenças Genéticas Inatas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Mol Ther Assunto da revista: BIOLOGIA MOLECULAR / TERAPEUTICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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