A deep learning-based method for predicting the frequency classes of drug side effects based on multi-source similarity fusion

The source code of MSSF is available on GitHub (https://github.com/dingxlcse/MSSF.git) and archived on Zenodo (DOI: 10.5281/zenodo.15462041).

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Publication Details

Journal
Bioinformatics
Published
2025-05-27
DOI
https://doi.org/10.1093/bioinformatics/btaf319
Citations
5
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
7.52

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article

A deep learning-based method for predicting the frequency classes of drug side effects based on multi-source similarity fusion

Guihua Duan, Xiao Liang, Jian Zhong, Haochen Zhao et al.
5 citations
Bioinformatics
Computational Drug Discovery Methods
7.52
article

A deep learning-based method for predicting the frequency classes of drug side effects based on multi-source similarity fusion

Guihua Duan, Xiao Liang, Jian Zhong, Haochen Zhao, Demin Li, Jianxin Wang
article en
5 citations

Abstract

The source code of MSSF is available on GitHub (https://github.com/dingxlcse/MSSF.git) and archived on Zenodo (DOI: 10.5281/zenodo.15462041).

BioinformaticsVol. 41(6)
Central South University (CN), Hunan University (CN)
National Natural Science Foundation of China, Central South University
Good health and well-being
Openalex Percentile: Top 3%
Computational Drug Discovery Methods
7.52
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A deep learning-based method for predicting the frequency classes of drug side effects based on multi-source similarity fusion — Guihua Duan, Xiao Liang, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS