Comparative analysis of network-based approaches and machine learning algorithms for predicting drug-target interactions

Volume: 198, Pages: 19 - 31
Published: Feb 1, 2022
Abstract
Computational prediction of drug-target interactions (DTIs) is of particular importance in the process of drug repositioning because of its efficiency in selecting potential candidates for DTIs. A variety of computational methods for predicting DTIs have been proposed over the past decade. Our interest is which methods or techniques are the most advantageous for increasing prediction accuracy. This article provides a comprehensive overview of...
Paper Details
Title
Comparative analysis of network-based approaches and machine learning algorithms for predicting drug-target interactions
Published Date
Feb 1, 2022
Journal
Volume
198
Pages
19 - 31
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