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International Conference on Bioinformatics and Biomedical Engineering

IWBBIO 2018: Bioinformatics and Biomedical Engineering pp 397–408Cite as

Gene-Gene Interaction Analysis: Correlation, Relative Entropy and Rough Set Theory Based Approach

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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 10814))

Abstract

Logical interaction between every pair of genes in a gene interaction network affects the observable behavior of any organism. This genetic interaction helps us to identify pathways of associated genes for various diseases and also finds the level of interaction between the genes in the network. In this paper, at first we have used three correlation measures, like Pearson, Spearman and Kendall-Tau to find the interaction level in a gene interaction network. Rough set can also be used to find the level of interaction, as well as direction of interaction between every pair of genes. That’s why in the second phase of the experiment, entropy measure & Rough set theory are also used to determine the level of interaction between every pair of genes as well as finds the direction of interaction that indicates which gene regulates which other genes. Experiments are done on normal & diseased samples of Colorectal Cancer dataset (GDS4382) separately. At the end we try to find out those interactions responsible for this cancer disease to take place. To validate the experimental results biologically we compare it with interactions given in NCBI database.

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Author information

Authors and Affiliations

  1. CSE Department, Heritage Institute of Technology, Kolkata, India

    Sujay Saha & Sukriti Roy

  2. CSE Department, Netaji Subhash Engineering College, Kolkata, India

    Anupam Ghosh

  3. CSE Department, University of Calcutta, Kolkata, India

    Kashi Nath Dey

Authors
  1. Sujay Saha
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  2. Sukriti Roy
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  3. Anupam Ghosh
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  4. Kashi Nath Dey
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Corresponding author

Correspondence to Sujay Saha .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. University of Granada, Granada, Spain

    Francisco Ortuño

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Saha, S., Roy, S., Ghosh, A., Dey, K.N. (2018). Gene-Gene Interaction Analysis: Correlation, Relative Entropy and Rough Set Theory Based Approach. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2018. Lecture Notes in Computer Science(), vol 10814. Springer, Cham. https://doi.org/10.1007/978-3-319-78759-6_36

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  • DOI: https://doi.org/10.1007/978-3-319-78759-6_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78758-9

  • Online ISBN: 978-3-319-78759-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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