Evolutionary biclustering with correlation for gene interaction networks

Abstract

In this study, a novel rank correlation-based multiobjective evolutionary biclustering method is proposed to extract simple gene interaction networks from microarray data. Preprocessing helps to preserve those gene interaction pairs which are strongly correlated. Experimental results on time series gene expression data from Yeast are biologically validated based on standard databases and information from literature. © Springer-Verlag Berlin Heidelberg 2007.