SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association.

ABSTRACT:

Background

Measuring similarity between diseases plays an important role in disease-related molecular function research. Functional associations between disease-related genes and semantic associations between diseases are often used to identify pairs of similar diseases from different perspectives. Currently, it is still a challenge to exploit both of them to calculate disease similarity. Therefore, a new method (SemFunSim) that integrates semantic and functional association is proposed to address the issue.

Methods

SemFunSim is designed as follows. First of all, FunSim (Functional similarity) is proposed to calculate disease similarity using disease-related gene sets in a weighted network of human gene function. Next, SemSim (Semantic Similarity) is devised to calculate dis

SUBMITTER: Cheng L 

PROVIDER: S-EPMC4059643 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature