Detecting functional modules from protein interaction networks

2Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Accumulating evidence suggests that biological systems are composed of separable functional modules. Identifying these modules is essential in understanding the organization of biological systems. In this paper, we extend the indegree and outdegree concept of vertex to the sub-graph and propos a new formal definition of a module in a network. By combining our new network module definition with an adaptation of the Girvan-Newman algorithm, we propose a new divisive algorithm to detect modules from protein interaction networks. We applied our approach to the DIP yeast core protein interaction network and 81 compact simple modules with size larger than 3 are revealed. All 81 modules are significantly enriched for functional Gene Ontology terms. Comparison between our compact simple modules with the modules of Radicchi et al. showed that our modules are statistically more significant (lower P-value). Our approach provides a plausible way to identify functional modules within biological networks. © 2006 IEEE.

Cite

CITATION STYLE

APA

Luo, F., & Scheuermann, R. H. (2006). Detecting functional modules from protein interaction networks. In First International Multi- Symposiums on Computer and Computational Sciences, IMSCCS’06 (Vol. 1, pp. 123–130). https://doi.org/10.1109/IMSCCS.2006.55

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free