Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Aug 1, 2017
Abstract
MOTIVATION: 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.