Cross-Correlation and Evolutionary Biclustering: Extracting Gene Interaction Sub-networks
In this paper we present a simple and novel time-dependent cross-correlation-based approach for the extraction of simple gene interaction sub-networks from biclusters in temporal gene expression microarray data. Preprocessing has been employed to retain those gene interaction pairs that are strongly correlated. The methodology was applied to public-domain data sets of Yeast and the experimental results were biologically validated based on standard databases and information available in the literature.
KeywordsBiclustering transcriptional regulatory network time-delay time-lagged correlation gene interaction network
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