An Evolutionary Heuristic Approach for Functional Modules Identification from Composite Biological Data

I. A. Maraziotis, A. Dragomir, A. Bezerianos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modular structures are key features of the complex biological networks which control the functioning and dynamics of the living cell. In order to unravel this intricate modularity we propose an algorithm having evolutionary features that unveils and optimizes sub-networks within a weighted graph of protein interactions. The graph is enriched by integrating information from gene expression profiles. Functional modules are retrieved by expanding a kernel protein set that originates from 'seed' proteins and validated through biological and topological criteria. The modules obtained are further refined using a framework based on binary particle swarm optimization.

Original languageEnglish (US)
Title of host publication13th International Conference on Biomedical Engineering - ICBME 2008
Pages673-677
Number of pages5
DOIs
StatePublished - Dec 1 2009
Event13th International Conference on Biomedical Engineering, ICBME 2008 - , Singapore
Duration: Dec 3 2008Dec 6 2008

Publication series

NameIFMBE Proceedings
Volume23
ISSN (Print)1680-0737

Other

Other13th International Conference on Biomedical Engineering, ICBME 2008
CountrySingapore
Period12/3/0812/6/08

Keywords

  • data integration
  • functional modules
  • particle swarm optimization
  • protein interaction network
  • protein-protein interaction

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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  • Cite this

    Maraziotis, I. A., Dragomir, A., & Bezerianos, A. (2009). An Evolutionary Heuristic Approach for Functional Modules Identification from Composite Biological Data. In 13th International Conference on Biomedical Engineering - ICBME 2008 (pp. 673-677). (IFMBE Proceedings; Vol. 23). https://doi.org/10.1007/978-3-540-92841-6_165