An effective multi-task learning framework for drug repurposing based on graph representation learning

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成果类型：

期刊论文

作者：

Ye, Shengwei;Zhao, Weizhong;Shen, Xianjun;Jiang, Xingpeng;He, Tingting

通讯作者：

Zhao, WZ

作者机构：

[Shen, Xianjun; Zhao, Weizhong; Zhao, WZ; He, Tingting; Jiang, Xingpeng; Ye, Shengwei] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smart, Wuhan 430079, Hubei, Peoples R China.

[Shen, Xianjun; Zhao, Weizhong; He, Tingting; Jiang, Xingpeng; Ye, Shengwei] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.

[Shen, Xianjun; Zhao, Weizhong; He, Tingting; Jiang, Xingpeng; Ye, Shengwei] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netwo, Wuhan 430079, Hubei, Peoples R China.

通讯机构：

[Zhao, WZ ] C

Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smart, Wuhan 430079, Hubei, Peoples R China.

语种：

英文

关键词：

Drug repurposing;Drug-disease associations prediction;Graph convolutional network;Heterogeneous information network;Multi-task learning

期刊：

Methods

ISSN：

1046-2023

年：

2023

卷：

218

页码：

48-56

DOI：

10.1016/j.ymeth.2023.07.008

基金类别：

National Natural Science Foundation of China [61932008]; Natural Science Foundation of Hubei Prov-ince of China [2022CFB289]; Fundamental Research Funds for Central Universities [KJ02502022-0450]; Scientific Research Center Program of National Language Commission [ZDI135-135]

机构署名：

本校为第一且通讯机构

院系归属：

计算机学院

摘要：

Drug repurposing, which typically applies the procedure of drug-disease associations (DDAs) prediction, is a feasible solution to drug discovery. Compared with traditional methods, drug repurposing can reduce the cost and time for drug development and advance the success rate of drug discovery. Although many methods for drug repurposing have been proposed and the obtained results are relatively acceptable, there is still some room for improving the predictive performance, since those methods fail to consider fully the issue of sparseness in known drug-disease associations. In this paper, we pr...

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An effective multi-task learning framework for drug repurposing based on graph representation learning

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