Measuring disease similarity and predicting disease-related ncRNAs by a novel method.

ABSTRACT:

Background

Similar diseases are always caused by similar molecular origins, such as diasease-related protein-coding genes (PCGs). And the molecular associations reflect their similarity. Therefore, current methods for calculating disease similarity often utilized functional interactions of PCGs. Besides, the existing methods have neglected a fact that genes could also be associated in the gene functional network (GFN) based on intermediate nodes.

Methods

Here we presented a novel method, InfDisSim, to deduce the similarity of diseases. InfDisSim utilized the whole network based on random walk with damping to model the information flow. A benchmark set of similar disease pairs was employed to evaluate the performance of InfDisSim.

Results

The region beneath the receive

SUBMITTER: Hu Y 

PROVIDER: S-EPMC5751624 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature