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A least squares fitting-based modeling of gene regulatory sub-networks
R DAS, S MITRA, C A MURTHY, S MUKHOPADHYAY
Published in -
2009
Pages: 165 - 170
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. © 2009 Springer-Verlag Berlin Heidelberg.
About the journal
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher-
ISSN0302-9743
Open AccessYes