An effective method for network module extraction from microarray data.

ABSTRACT:

Background

The development of high-throughput Microarray technologies has provided various opportunities to systematically characterize diverse types of computational biological networks. Co-expression network have become popular in the analysis of microarray data, such as for detecting functional gene modules.

Results

This paper presents a method to build a co-expression network (CEN) and to detect network modules from the built network. We use an effective gene expression similarity measure called NMRS (Normalized mean residue similarity) to construct the CEN. We have tested our method on five publicly available benchmark microarray datasets. The network modules extracted by our algorithm have been biologically validated in terms of Q value and p value.

Conclusions

SUBMITTER: Mahanta P 

PROVIDER: S-EPMC3426802 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature