A novel microbe-drug association prediction model based on stacked autoencoder with multi-head attention mechanism

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成果类型：

期刊论文

作者：

Fan, Liu;Wang, Lei;Zhu, Xianyou

通讯作者：

Zhu, XY;Wang, L

作者机构：

[Zhu, Xianyou; Fan, Liu] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421010, Peoples R China.

[Wang, Lei; Fan, Liu] Changsha Univ, Inst Bioinformat Complex Network Big Data, Changsha 410022, Peoples R China.

[Wang, Lei] Changsha Univ, Big Data Innovat & Entrepreneurship Educ Ctr Huna, Changsha 410022, Peoples R China.

[Zhu, Xianyou] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421010, Peoples R China.

[Wang, Lei] Changsha Univ, Inst Bioinformat Complex Network Big Data, Changsha 410022, Peoples R China.

通讯机构：

[Zhu, XY ; Wang, L ]

Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421010, Peoples R China.

Changsha Univ, Inst Bioinformat Complex Network Big Data, Changsha 410022, Peoples R China.

Changsha Univ, Big Data Innovat & Entrepreneurship Educ Ctr Huna, Changsha 410022, Peoples R China.

语种：

英文

期刊：

Scientific Reports

ISSN：

2045-2322

年：

2023

卷：

期：

页码：

7396

DOI：

10.1038/s41598-023-34438-8

基金类别：

National Natural Science Foundation of China [62272064]; Natural Science Foundation of Hunan Province [2022JJ50138]; 14th Five-Year Plan"Key Disciplines and Application-oriented Special Disciplines of Hunan Province [Xiangjiaotong [2022] 351]

机构署名：

本校为第一且通讯机构

院系归属：

计算机科学与技术学院

摘要：

Microbes are intimately tied to the occurrence of various diseases that cause serious hazards to human health, and play an essential role in drug discovery, clinical application, and drug quality control. In this manuscript, we put forward a novel prediction model named MDASAE based on a stacked autoencoder (SAE) with multi-head attention mechanism to infer potential microbe-drug associations. In MDASAE, we first constructed three kinds of microbe-related and drug-related similarity matrices based on known microbe-disease-drug associations respectively. And then, we fed two kinds of microbe-re...

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A novel microbe-drug association prediction model based on stacked autoencoder with multi-head attention mechanism

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