Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5513322 | Methods | 2017 | 32 Pages |
Abstract
In our experiments, we utilized AUC (Area under ROC Curve) as an evaluation metric. We compared our proposed methods with various state-of-the-art methods under 5-fold cross validation. Experimental results showed EnsemKRR achieving the highest AUC (94.3%) for predicting drug-target interactions. In addition, dimensionality reduction helped improve the performance of EnsemDT. In conclusion, our proposed methods produced significant improvements for drug-target interaction prediction.
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Authors
Ali Ezzat, Min Wu, Xiao-Li Li, Chee-Keong Kwoh,