Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and Drugs
Abstract
Determining the target genes that interact with drugs-drug-target interactions-plays an important role in drug discovery. Identification of drug-target interactions through biological experiments is time consuming, laborious, and costly. Therefore, using computational approaches to predict candidate targets is a good way to reduce the cost of wet-lab experiments. However, the known interactions (positive samples) and the unknown interactions...
Paper Details
Title
Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and Drugs
Published Date
May 31, 2019
Journal
Volume
10
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