Original paper
Drug-target interaction prediction using ensemble learning and dimensionality reduction
Abstract
Experimental prediction of drug-target interactions is expensive, time-consuming and tedious. Fortunately, computational methods help narrow down the search space for interaction candidates to be further examined via wet-lab techniques. Nowadays, the number of attributes/features for drugs and targets, as well as the amount of their interactions, are increasing, making these computational methods inefficient or occasionally prohibitive. This...
Paper Details
Title
Drug-target interaction prediction using ensemble learning and dimensionality reduction
Published Date
Oct 1, 2017
Journal
Volume
129
Pages
81 - 88
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Notes
History