DocumentCode
1789728
Title
Predicting drug side effects based on link prediction in bipartite network
Author
Yifu Luo ; Qijun Liu ; Wenjian Wu ; Fei Li ; Xiaochen Bo
Author_Institution
Dept. of Chem. & Biol., Nat. Univ. of Defense Technol., Changsha, China
fYear
2014
fDate
14-16 Oct. 2014
Firstpage
729
Lastpage
733
Abstract
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.
Keywords
drugs; graph theory; medical computing; SIDER2 database; appearance frequency; bipartite network; drug side effect network; link prediction methods; Bipartite graph; Drugs; Indexes; Prediction methods; Protein engineering; Proteins; Training data; bipartite graph; drug side effect; link prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4799-5837-5
Type
conf
DOI
10.1109/BMEI.2014.7002869
Filename
7002869
Link To Document