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

Authors:
Ranajit Das;Sushmita Mitra;C. A. Murthy;Subhasis Mukhopadhyay
Affiliations:
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India 700 108;Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India 700 108;Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India 700 108;Department of Bio-Physics, Molecular Biology and Bioinformatics, Calcutta University, Kolkata, India 700 009
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

Citing 4
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Pattern Recognition
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Information Fusion
Genetic Networks and Soft Computing

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

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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.