DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks.

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第一作者： Guang,Yang

第一单位： School of Information and Artificial Intelligence, Anhui Agricultural University, Changjiang West Road, Hefei, 230036, Anhui, China.

作者： Guang,Yang ^[1] ; Yinbo,Liu ^[1] ; Sijian,Wen ^[1] ; Wenxi,Chen ^[1] ; Xiaolei,Zhu ^[1] ; Yongmei,Wang ^[2]

作者单位： School of Information and Artificial Intelligence, Anhui Agricultural University, Changjiang West Road, Hefei, 230036, Anhui, China. ^[1] School of Information and Artificial Intelligence, Anhui Agricultural University, Changjiang West Road, Hefei, 230036, Anhui, China. wym0152@foxmail.com. ^[2]

关键词 DTIs prediction Feature concatenation Heterogeneous graph attention networks PCA Random forest

主题词算法(Algorithms);主成分分析(Principal Component Analysis);药物发现(Drug Discovery);人类(Humans);计算生物学(Computational Biology)

DOI 10.1186/s12859-024-06021-z

PMID 39800678

发布时间 2025-01-15

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准确一般字义偏差语意偏离译文作用小提交