DocumentCode :
478739
Title :
Detecting Functional Modules from Protein Interaction Networks
Author :
Luo, Feng ; Scheuermann, Richard H.
Author_Institution :
Dept. of Comput. Sci., Clemson Univ., SC
Volume :
1
fYear :
2006
fDate :
20-24 June 2006
Firstpage :
123
Lastpage :
130
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 propose 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
Keywords :
biology computing; genetics; molecular biophysics; ontologies (artificial intelligence); proteins; Girvan-Newman algorithm; biological system; functional gene ontology term; functional module detection; protein interaction network; Biological systems; Computer networks; Computer science; Electronics packaging; Finance; Fungi; Large-scale systems; Ontologies; Pathology; Proteins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
Type :
conf
DOI :
10.1109/IMSCCS.2006.55
Filename :
4673535
Link To Document :
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