  Reconstruction of gene regulatory networks or 'reverse-engineering' is a
process of identifying gene interaction networks from experimental microarray
gene expression profile through computation techniques. In this paper, we tried
to reconstruct cancer-specific gene regulatory network using information
theoretic approach - mutual information. The considered microarray data
consists of large number of genes with 20 samples - 12 samples from colon
cancer patient and 8 from normal cell. The data has been preprocessed and
normalized. A t-test statistics has been applied to filter differentially
expressed genes. The interaction between filtered genes has been computed using
mutual information and ten different networks has been constructed with varying
number of interactions ranging from 30 to 500. We performed the topological
analysis of the reconstructed network, revealing a large number of interactions
in colon cancer. Finally, validation of the inferred results has been done with
available biological databases and literature.
