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Scaled Fuzzy Graph for Cluster Analysis in DNA Sequence of Olfactory Receptors

Author

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  • Satya Ranjan Dash

    (School of Computer Application, KIIT University, Bhubaneswar, India)

  • Satchidananda Dehuri

    (Department of Systems Engineering, Ajou University, Suwon, Korea)

  • Uma Kant Sahoo

    (School of Computer Application, KIIT University, Bhubaneswar, India)

Abstract

Olfactory receptors (ORs) are responsible for recognition of odor molecules. The deoxyribonucleic acid (DNA) sequences of these receptors are severely affected by local mutations. Therefore, to study the changes among affected and non-affected ORs, the authors attempted to use unsupervised learning (clustering) algorithm. In this paper, they have used a scaled fuzzy graph model for clustering to study the changes before and after the local mutation on DNA sequences of ORs. Their simulation study at the fractional dimensional level confirms its accuracy.

Suggested Citation

  • Satya Ranjan Dash & Satchidananda Dehuri & Uma Kant Sahoo, 2013. "Scaled Fuzzy Graph for Cluster Analysis in DNA Sequence of Olfactory Receptors," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 8(1), pages 57-70, January.
    • Handle: RePEc:igg:jhisi0:v:8:y:2013:i:1:p:57-70
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