Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network.

ABSTRACT: One of the most important and challenging problems in biomedicine and genomics is how to identify the disease genes. In this study, we developed a computational method to identify colorectal cancer-related genes based on (i) the gene expression profiles, and (ii) the shortest path analysis of functional protein association networks. The former has been used to select differentially expressed genes as disease genes for quite a long time, while the latter has been widely used to study the mechanism of diseases. With the existing protein-protein interaction data from STRING (Search Tool for the Retrieval of Interacting Genes), a weighted functional protein association network was constructed. By means of the mRMR (Maximum Relevance Minimum Redundancy) approach, six genes were identified that

SUBMITTER: Li BQ 

PROVIDER: S-EPMC3319543 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature