Hierarchical graph attention network for miRNA-disease association prediction.

Li, Zhengwei; Zhong, Tangbo; Huang, Deshuang; You, Zhu-Hong; Nie, Ru

Li, Zhengwei; Zhong, Tangbo; Huang, Deshuang; You, Zhu-Hong; Nie, Ru.

Afiliação

Li Z; Guangxi Key Lab of Human-machine Interaction and Intelligent Decision, Guangxi Academy of Science, Nanning 530007, China. Electronic address: zwli@gxas.cn.
Zhong T; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.
Huang D; Guangxi Key Lab of Human-machine Interaction and Intelligent Decision, Guangxi Academy of Science, Nanning 530007, China. Electronic address: dshuang@gxas.cn.
You ZH; Guangxi Key Lab of Human-machine Interaction and Intelligent Decision, Guangxi Academy of Science, Nanning 530007, China. Electronic address: zhuhongyou@gmail.com.
Nie R; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China. Electronic address: nr@cumt.edu.cn.

Mol Ther ; 30(4): 1775-1786, 2022 04 06.

Article em En | MEDLINE | ID: mdl-35121109

Assuntos

MicroRNAs; RNA Longo não Codificante; Algoritmos; Biologia Computacional/métodos; MicroRNAs/genética; RNA Longo não Codificante/genética

Palavras-chave

disease; hierarchical graph attention network; lncRNA; meta-path; miRNA

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / RNA Longo não Codificante Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Ther Assunto da revista: BIOLOGIA MOLECULAR / TERAPEUTICA Ano de publicação: 2022 Tipo de documento: Article País de publicação: Estados Unidos

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