Predicting Drug Side Effects Based on Link Prediction in Bipartite Network

被引：0
|
作者：
Luo, Yifu [1 ]
Liu, Qijun [1 ]
Wu, Wenjian [1 ]
Li, Fei [2 ]
Bo, Xiaochen [2 ]
机构：
[1] Natl Univ Def Technol, Dept Biol & Chem, Changsha, Hunan, Peoples R China
[2] Beijing Inst Radiat Med, Dept Biotechnol, Beijing, Peoples R China
来源：
2014 7TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2014) | 2014年
关键词：
component; drug side effect; link prediction; bipartite graph;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
To pursue a new approach for discovering new side effects of drugs, we construct a drug - side effect network based on the SIDER2 database, and introducing link prediction methods in the network. We develop and evaluate the framework for drug side effect prediction based on link prediction in bipartite network. Integrating side effect appearance frequency has also been proved to be of value in improving the performance of drug side effect prediction.
引用
收藏
页码：729 / 733
页数：5
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