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Reconstruction of Gene Regulatory Network to Identify Prognostic Molecular Markers of the Reactive Stroma of Breast and Prostate Cancer Using Information Theoretic Approach

Prof. Shanthi Mahesh, Dr. Neha Mangla, Pooja V, Suhas A Bhyratae

Gene regulation refers to a number of sequential processes, the most well-known and understood being translation and transcription, which control the level of a gene’s expression and ultimately result with specific quantity of a target protein. Reconstruction of gene regulatory networks is a process of analyzing the steps involved in gene regulation using computational techniques. In this paper, cancer-specific gene regulatory network has been reconstructed using information theoretic approach-Mutual Information. The microarray database used contains 12 Gene samples each of breast cancer and prostate cancer having both normal and tumor cell information. This data has been preprocessed, normalized and filtered using the t-test; the MI value is applied on the filtered genes to determine the Gene-Gene Interaction. Based on the interactions obtained, 10 different networks have been constructed and the statistical analysis has been performed on that network. Finally, validation of the inferred results has been done with available biological databases and literature.