Evolutionary biclustering with correlation for gene interaction networks

  • Authors:
  • Ranajit Das;Sushmita Mitra;Haider Banka;Subhasis Mukhopadhyay

  • Affiliations:
  • Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India;Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India;Bioinformatics Center, Department of Bio-Physics, Molecular Biology and Genetics, Calcutta University, Kolkata, India

  • Venue:
  • PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
  • Year:
  • 2007

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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.