Identification of human disease genes from interactome network using graphlet interaction.

ABSTRACT: Identifying genes related to human diseases, such as cancer and cardiovascular disease, etc., is an important task in biomedical research because of its applications in disease diagnosis and treatment. Interactome networks, especially protein-protein interaction networks, had been used to disease genes identification based on the hypothesis that strong candidate genes tend to closely relate to each other in some kinds of measure on the network. We proposed a new measure to analyze the relationship between network nodes which was called graphlet interaction. The graphlet interaction contained 28 different isomers. The results showed that the numbers of the graphlet interaction isomers between disease genes in interactome networks were significantly larger than random picked genes, while gra

SUBMITTER: Wang XD 

PROVIDER: S-EPMC3899204 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature