Using feature selection technique for drug-target interaction networks prediction |
| |
Authors: | Yu W Jiang Z Wang J Tao R |
| |
Institution: | Department of Computer Science & Technology, East China Normal University, Shanghai, 200241, PR China. |
| |
Abstract: | Elucidating the interaction relationship between target proteins and all drugs is critical for the discovery of new drug targets. However, it is a big challenge to integrate and optimize different feature information into one single "knowledge view" for drug-target interaction prediction. In this article, a feature selection method was proposed to rank the original feature sets. Then, an improved bipartite learning graph method was used to predict four types of drug-target datasets based on the optimized feature subsets. The cross-validation results demonstrate that the proposed method can provide superior performance than previous method on four classes of drug target families. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|