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A link partition approach for finding overlapping functional modules in the transcriptional regulatory network

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Zou, Qingyu | Liu, Fu; | Hou, Tao | Jiang, Yihan | Mo, Reifeng

Affiliations: College of Communication Engineering, Jilin University, Changchun 132000, People's Republic of China

Note: [] Corresponding author: Fu Liu, College of Communication Engineering, Jilin University, Changchun 132000, People's Republic of China. Tel.:13610708679; Fax: 0431-85095775; E-mail: [email protected].

Keywords: Transcriptional regulation, network, functional module

DOI: 10.3233/BME-141200

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 3719-3727, 2014

Published: 2014
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Abstract

The transcriptional regulation of cellular functions is carried out by the overlapping functional modules of a complex network. In this paper, a statistical approach for detecting functional modules in the transcriptional regulatory networks (TRNs) is studied. The proposed method defines modules as groups of links rather than nodes since nodes naturally belong to more than one module. Furthermore, the proposed algorithm is evaluated on the Escherichia coli TRN. The experimental results demonstrate that it detected a suitable number of overlapping modules that were biologically meaningful without any prior knowledge about the modules.

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