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Paired Transcriptional Regulatory System for Differentially Expressed Genes

Aurpan Majumder1 and Mrityunjay Sarkar2
1.Dept. of E.C.E, National Institute of Technology, Durgapur, India
2.Dept. of E.C.E, Durgapur Institute of Advanced Technology and Management, Durgapur, India
Abstract—A fully functional gene regulatory network can be formed using gene-gene and/or gene-protein interactive patterns. To maintain a healthy cell cycle, it is necessary to have a proper control of the regulatory proteins in the network. Excess protein concentration may lead to beyond control division of the healthy cells causing cancer. In this context, transcriptional regulators (proteins) are responsible for changes in gene expression levels across different developmental stages. In our work we have extended a recently developed procedure to find out the pair(s) of TFs, which can control a target gene from a linear prospective. Here, we have explored the pairwise regulatory action through mutual information and spline regression. In the result segment we have shown that the controlling action between these two methods is dependent upon the dimension (number of samples) of the data. For large dimension spline regression based controlling shows better result that MI, and vice versa for smaller dimensions.

Index Terms—transcription factor, mutual information, spline regression, differentially expressed (DE) genes, colorectal (colon) cancer

Cite: Aurpan Majumder and Mrityunjay Sarkar, "Paired Transcriptional Regulatory System for Differentially Expressed Genes," Lecture Notes on Information Theory, Vol. 2, No. 3, pp. 266-272, September 2014. doi: 10.12720/lnit.2.3.266-272
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