An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease.

ABSTRACT:

Background

There are different and complicated associations between genes and diseases. Finding the causal associations between genes and specific diseases is still challenging. In this work we present a method to predict novel associations of genes and pathways with inflammatory bowel disease (IBD) by integrating information of differential gene expression, protein-protein interaction and known disease genes related to IBD.

Results

We downloaded IBD gene expression data from NCBI's Gene Expression Omnibus, performed statistical analysis to determine differentially expressed genes, collected known IBD genes from DisGeNet database, which were used to construct a IBD related PPI network with HIPPIE database. We adapted our graph-based clustering algorithm DPClusO to cluster th

SUBMITTER: Eguchi R 

PROVIDER: S-EPMC6043997 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature