Prediction of Potential Drug–Disease Associations through Deep Integration of Diversity and Projections of Various Drug Features

Volume: 20, Issue: 17, Pages: 4102 - 4102
Published: Aug 22, 2019
Abstract
Identifying new indications for existing drugs may reduce costs and expedites drug development. Drug-related disease predictions typically combined heterogeneous drug-related and disease-related data to derive the associations between drugs and diseases, while recently developed approaches integrate multiple kinds of drug features, but fail to take the diversity implied by these features into account. We developed a method based on non-negative...
Paper Details
Title
Prediction of Potential Drug–Disease Associations through Deep Integration of Diversity and Projections of Various Drug Features
Published Date
Aug 22, 2019
Volume
20
Issue
17
Pages
4102 - 4102
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