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DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network.

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第一作者： Haoyuan,Shi

第一单位： University of Science and Technology of China, Hefei, 230026, Anhui, China; School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, 230036, Anhui, China. Electronic address: haoyuan.shi@mail.ustc.edu.cn.

作者： Haoyuan,Shi ^[1] ; Tao,Xu ^[2] ; Xiaodi,Li ^[3] ; Qian,Gao ^[4] ; Zhiwei,Xiong ^[5] ; Junfeng,Xia ^[6] ; Zhenyu,Yue ^[7]

作者单位： University of Science and Technology of China, Hefei, 230026, Anhui, China; School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, 230036, Anhui, China. Electronic address: haoyuan.shi@mail.ustc.edu.cn. ^[1] School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, 230036, Anhui, China. Electronic address: taoxu@stu.ahau.edu.cn. ^[2] School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, 230036, Anhui, China. Electronic address: lixiaodi@stu.ahau.edu.cn. ^[3] School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, 230036, Anhui, China. Electronic address: gaoqian@stu.ahau.edu.cn. ^[4] University of Science and Technology of China, Hefei, 230026, Anhui, China. Electronic address: zwxiong@ustc.edu.cn. ^[5] Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230036, Anhui, China. Electronic address: jfxia@ahu.edu.cn. ^[6] School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, 230036, Anhui, China. Electronic address: zhenyuyue@ahau.edu.cn. ^[7]

关键词 Directed graph convolutional network Drug response prediction Multi-omics Quantifiable interpretability

主题词人类(Humans);肿瘤(Neoplasms);细胞系, 肿瘤(Cell Line, Tumor);抗肿瘤药(Antineoplastic Agents)

DOI 10.1016/j.artmed.2025.103101

PMID 40056540

发布时间 2025-08-05

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