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A Least Squares Fitting-Based Modeling of Gene Regulatory Sub-networks

  • Ranajit Das
  • Sushmita Mitra
  • C. A. Murthy
  • Subhasis Mukhopadhyay
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5909)

Abstract

This paper presents a simple and novel least squares fitting-based modeling approach for the extraction simple gene regulatory sub- networks from biclusters in microarray time series gene expression data. Preprocessing helps in retaining the strongly interacting gene regulatory pairs. The methodology was applied to public-domain data sets of Yeast and the experimental results were biologically validated based on standard databases and information from literature.

Keywords

Biclustering transcriptional regulatory network least squares gene interaction network 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ranajit Das
    • 1
  • Sushmita Mitra
    • 1
  • C. A. Murthy
    • 1
  • Subhasis Mukhopadhyay
    • 2
  1. 1.Machine Intelligence UnitIndian Statistical InstituteKolkataIndia
  2. 2.Department of Bio-Physics, Molecular Biology and BioinformaticsCalcutta UniversityKolkataIndia

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