Network module extraction with positive and negative co-regulation

Authors:
T. A. Rahman;D. K. Bhattacharyya
Affiliations:
Tezpur University, Assam, India;Tezpur University, Assam, India
Venue:
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Year:
2012

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Abstract

This paper presents a method, referred here as TDNME, to find top-k strongly correlated modules from a gene Co-expression Network (CEN). The proposed TDNME initially mines a gene expression dataset for finding both positively and negatively strongly corregulated gene pairs, which become the seeds for the formation of strongly correlated network modules in the next phase. We have tested our method on four publicly available benchmark microarray datasets and the modules have been biologically validated in terms of both Q value and p value.