Revealing new therapeutic opportunities through drug target prediction: a class imbalance-tolerant machine learning approach.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Aug 15, 2020
Abstract
MOTIVATION: In silico drug target prediction provides valuable information for drug repurposing, understanding of side effects as well as expansion of the druggable genome. In particular, discovery of actionable drug targets is critical to developing targeted therapies for diseases.