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Application of Information Theory for Understanding of HLA Gene Regulation in Leukemia

  • Conference paper
Advances in Computing and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 177))

Abstract

The classical concept of information entropy can be useful in analyzing data pertaining to bioinformatics. In the present work, this has been utilized in understanding of the regulation of HLA gene expression by the inducible promoter region binding transcription factors (TFs). Human HLA surface expression data acquired through flow cytometry and corresponding different TFs expression data acquired through semi-quantitative PCR have been used in this work. The gene regulation phenomenon is considered as an information propagation channel with an amount of distortion. Information entropies computed for the source, receiver and computation of channel equivocation and mutual information are used to characterize the phenomenon of HLA gene regulation. The results obtained in the current exercise reveals that the state of leukemia alters the role of each TF, which tally with the current hypotheses about HLA gene regulation in different leukemias. Hence, this work shows the applicability of information theory in understanding of HLA gene regulation derived from human data.

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Authors and Affiliations

  1. Department of Physiology, West Bengal State University, Berunanpukuria, Malikapur, Barasat, Kolkata, 700 126, India

    Durjoy Majumder

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  1. Durjoy Majumder
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Correspondence to Durjoy Majumder .

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Editors and Affiliations

  1. , Department of Computer Science, Jackson State University, John R. Lynch Street 1400, Jackson, 39217, USA

    Natarajan Meghanathan

  2. Wireilla Net Solutions PTY Ltd, Melbourne, Australia

    Dhinaharan Nagamalai

  3. Department of Computer Science & Eng., University of Calcutta, Calcutta, 700 073, India

    Nabendu Chaki

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Majumder, D. (2013). Application of Information Theory for Understanding of HLA Gene Regulation in Leukemia. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31552-7_18

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  • DOI: https://doi.org/10.1007/978-3-642-31552-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31551-0

  • Online ISBN: 978-3-642-31552-7

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