Heterogeneous multi-scale neighbor topologies enhanced drug-disease association prediction.
Journal:
Briefings in bioinformatics
Published Date:
May 13, 2022
Abstract
MOTIVATION: Identifying new uses of approved drugs is an effective way to reduce the time and cost of drug development. Recent computational approaches for predicting drug-disease associations have integrated multi-sourced data on drugs and diseases. However, neighboring topologies of various scales in multiple heterogeneous drug-disease networks have yet to be exploited and fully integrated.