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MADGAN:A microbe-disease association prediction model based on generative adversarial networks

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成果类型:
期刊论文
作者:
Hu, Weixin;Yang, Xiaoyu;Wang, Lei;Zhu, Xianyou
通讯作者:
Wang, L.;Zhu, X.
作者机构:
[Hu, Weixin; Zhu, Xianyou] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.
[Wang, Lei; Yang, Xiaoyu] Changsha Univ, Inst Bioinformat Complex Network Big Data, Changsha, Peoples R China.
[Wang, Lei] Changsha Univ, Big Data Innovat & Entrepreneurship Educ Ctr Hunan, Changsha, Peoples R China.
通讯机构:
[Zhu, X.] C
[Wang, L.] I
Institute of Bioinformatics Complex Network Big Data, China
College of Computer Science and Technology, China
语种:
英文
关键词:
computational prediction model;generative adversarial network;graph convolution neural network;microbe-disease associations;residual network
期刊:
Frontiers in Microbiology
ISSN:
1664-302X
年:
2023
卷:
14
页码:
1159076
基金类别:
This work was partly sponsored by the Hunan Provincial Natural Science Foundation of China (No. 2022JJ50138), the National Natural Science Foundation of China (No. 62272064), the Key project of Changsha Science and technology Plan (No. KQ2203001), the Science and Technology Innovation Program of Hunan Province (No. 2016TP1020), and the Hunan Provincial Education Department Scientific Research Project (No.20B080).
机构署名:
本校为第一机构
院系归属:
计算机科学与技术学院
摘要:
Researches have demonstrated that microorganisms are indispensable for the nutrition transportation, growth and development of human bodies, and disorder and imbalance of microbiota may lead to the occurrence of diseases. Therefore, it is crucial to study relationships between microbes and diseases. In this manuscript, we proposed a novel prediction model named MADGAN to infer potential microbe-disease associations by combining biological information of microbes and diseases with the generative adversarial networks. To our knowledge, it is the first attempt to use the generative adversarial ne...

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