Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm

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成果类型：

会议论文

作者：

Shengwei Ye;Weizhong Zhao;Xiaowei Xu;Xianjun Shen;Xingpeng Jiang;...

作者机构：

Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, Hubei, PR China

School of Computer, Central China Normal University, Wuhan, Hubei, PR China

National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, Wuhan, Hubei, PR China

[Xiaowei Xu] Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR, USA

[Shengwei Ye; Weizhong Zhao; Xianjun Shen; Xingpeng Jiang; Tingting He] Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, Hubei, PR China<&wdkj&>School of Computer, Central China Normal University, Wuhan, Hubei, PR China<&wdkj&>National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, Wuhan, Hubei, PR China

语种：

英文

关键词：

drug repositioning;drug-disease associations prediction;counterfactual links;graph convolutional network;heterogeneous information network

年：

2023

页码：

739-744

会议名称：

2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

会议论文集名称：

2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

会议时间：

05 December 2023

会议地点：

Istanbul, Turkiye

出版者：

IEEE

ISBN：

979-8-3503-3749-5

DOI：

10.1109/BIBM58861.2023.10385452

基金类别：

10.13039/501100001809-National Natural Science Foundation of China 10.13039/501100003819-Natural Science Foundation of Hubei Province

机构署名：

本校为第一机构

院系归属：

计算机学院

摘要：

Drug repositioning is the process of identifying potential associations between approved drugs and diseases (DDAs) to unveil novel therapeutic applications. Unlike traditional drug discovery approaches, a key advantage of drug repositioning lies in its capacity to leverage the existing knowledge and safety profiles of established medications, leading to significant reductions in both the time and costs associated with drug development. While various methods have been proposed to address this challenge using diverse strategies, the conventional approach for training DDAs prediction models typic...

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Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm

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