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SAGESDA: Multi-GraphSAGE networks for predicting SnoRNA-disease associations.

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第一作者： Biffon Manyura,Momanyi

第一单位： School of Computer Science and Engineering, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.

作者： Biffon Manyura,Momanyi ^[1] ; Yu-Wei,Zhou ^[2] ; Bakanina Kissanga,Grace-Mercure ^[3] ; Sebu Aboma,Temesgen ^[3] ; Ahmad,Basharat ^[3] ; Lin,Ning ^[4] ; Lixia,Tang ^[3] ; Hui,Gao ^[1] ; Hao,Lin ^[3] ; Hua,Tang ^[5]

作者单位： School of Computer Science and Engineering, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China. ^[1] School of Health Care Technology, Chengdu Neusoft University, Chengdu, China. ^[2] School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, China. ^[3] School of Health Care Technology, Chengdu Neusoft University, Chengdu, China.;School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, China. ^[4] School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, China.;Basic Medicine Research Innovation Center for Cardiometabolic Diseases, Ministry of Education, Luzhou, 646000, China.;Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, 646000, China. ^[5]

关键词 Diseases GraphSAGE Heterogeneous network Small nucleolar RNAs snoRNA-disease associations

DOI 10.1016/j.crstbi.2023.100122

PMID 38188542

发布时间 2024-01-09

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