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iGATTLDA: Integrative graph attention and transformer-based model for predicting lncRNA-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] ; Sebu Aboma,Temesgen ^[2] ; Tian-Yu,Wang ^[2] ; Hui,Gao ^[1] ; Ru,Gao ^[3] ; Hua,Tang ^[4] ; Li-Xia,Tang ^[2]

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 Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China. ^[2] The People's Hospital of Wenjiang, Chengdu, China. ^[3] School of Basic Medical Sciences, Southwest Medical University, Luzhou, China.;Medical Engineering & Medical Informatics Integration and Transformational Medicine Key Laboratory of Luzhou City, Luzhou, China.;Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, China. ^[4]

关键词 biocomputing bioinformatics data mining diseases medical computing network theory (graphs)

医学主题词人类(Humans);计算生物学(Computational Biology);疾病遗传易感性(Genetic Predisposition to Disease);算法(Algorithms);ROC曲线(ROC Curve)

DOI 10.1049/syb2.12098

PMID 39308027

发布时间 2025-01-08

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