Link prediction in drug-target interactions network using similarity indices
Abstract
In silico drug-target interaction (DTI) prediction plays an integral role in drug repositioning: the discovery of new uses for existing drugs. One popular method of drug repositioning is network-based DTI prediction, which uses complex network theory to predict DTIs from a drug-target network. Currently, most network-based DTI prediction is based on machine learning – methods such as Restricted Boltzmann Machines (RBM) or Support Vector Machines...
Paper Details
Title
Link prediction in drug-target interactions network using similarity indices
Published Date
Jan 17, 2017
Journal
Volume
18
Issue
1
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