Deep mining heterogeneous networks of biomedical linked data to predict novel drug–target associations
Abstract
A heterogeneous network topology possessing abundant interactions between biomedical entities has yet to be utilized in similarity-based methods for predicting drug-target associations based on the array of varying features of drugs and their targets. Deep learning reveals features of vertices of a large network that can be adapted in accommodating the similarity-based solutions to provide a flexible method of drug-target prediction.We propose a...
Paper Details
Title
Deep mining heterogeneous networks of biomedical linked data to predict novel drug–target associations
Published Date
Apr 18, 2017
Journal
Volume
33
Issue
15
Pages
2337 - 2344
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