Genetic networks: processing data, regulatory network modelling and their analysis

Authors:
M. T. Thai;Z. Cai;D. Z. Du
Affiliations:
Department of Computer and Information Science, Engineering University of Florida, Gainesville, FL;Department of Computing Science, University of Alberta Edmonton, Alberta, Canada;Department of Computer Science, University of Texas at Dallas Richardson, TX
Venue:
Optimization Methods & Software - Systems Analysis, Optimization and Data Mining in Biomedicine
Year:
2007

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Abstract

Recent advances in post-genomic biology are enabling us to investigate and reconstruct the precise gene interaction networks. Inferring genetic networks from a large-scale expression data is very important to understand the underlying biological systems. Thus in this paper, we review the state of the art in genetic network research field. First we focus on the latest techniques developed for processing raw expression data for reconstructing genetic networks. We next discuss a number of significant impacting factors of regulatory networks. Third, we present several popular models for inferring genetic networks and analyse the advantages and disadvantages of each model.