Aggregation of correlation measures for the reverse engineering of gene regulatory sub-networks

Authors:
Ranajit Das;Sushmita Mitra
Affiliations:
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India;Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
Venue:
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Year:
2012

Citing 5
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Abstract

This paper presents a simple and novel approach involving the aggregation of some correlation-based techniques for deciphering simple gene interaction sub-networks from biclusters in microarray time series gene expression data. Preprocessing has been used for discarding the weakly interacting gene pairs, i.e. , those that are poorly correlated. The proposed technique was successfully applied to public-domain data sets of Yeast and the experimental results were biologically validated based on benchmark databases and information from literature.