ncRNAInter: a novel strategy based on graph neural network to discover interactions between lncRNA and miRNA.

Zhang, Hanyu; Wang, Yunxia; Pan, Ziqi; Sun, Xiuna; Mou, Minjie; Zhang, Bing; Li, Zhaorong; Li, Honglin; Zhu, Feng

Zhang, Hanyu; Wang, Yunxia; Pan, Ziqi; Sun, Xiuna; Mou, Minjie; Zhang, Bing; Li, Zhaorong; Li, Honglin; Zhu, Feng.

Afiliação

Zhang H; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Wang Y; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China.
Pan Z; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Sun X; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Mou M; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Zhang B; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Li Z; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China.
Li H; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China.
Zhu F; School of Computer Science and Technology, East China Normal University, Shanghai 200062, China.

Brief Bioinform ; 23(6)2022 11 19.

Article em En | MEDLINE | ID: mdl-36198065

Assuntos

MicroRNAs; RNA Longo não Codificante; Humanos; RNA Longo não Codificante/genética; MicroRNAs/genética; Redes Neurais de Computação; Software; Algoritmos

Palavras-chave

RNA interaction; gene regulatory networks; machine learning; neural networks; noncoding RNA

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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 Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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