Genetic Code, Attributive Mappings and Stochastic Matrices

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    Abstract

    In this paper we construct three primitive mappings based on three kinds of genetic attribute equivalences. We then apply the mappings and basic addition operation to the universal genetic code to generate three square matrices. We show that these square matrices are stochastic in nature. They demonstrate some fractal similarity properties and resemble the similar properties to the original stochastic matrices. © 2003 Society for Mathematical Biology. Published by Elsevier Ltd. All rights reserved.
    Original languageAmerican English
    Pages (from-to)965-973
    Number of pages9
    JournalBulletin of Mathematical Biology
    Volume66
    Issue number5
    DOIs
    StatePublished - Sep 1 2004

    Funding

    Funding for this project was provided through the Nova Southeastern University President’s Faculty Research and Development Grant No. 335358. The author would like to express sincere thanks to Dr Edward Keith, Dr Sergei Petoukhov, Dr Emily Schmitt and Dr Junping Sun for their invaluable comments and suggestions.

    FundersFunder number
    Research and Development335358
    Nova Southeastern University

      ASJC Scopus Subject Areas

      • General Neuroscience
      • Immunology
      • General Mathematics
      • General Biochemistry,Genetics and Molecular Biology
      • General Environmental Science
      • Pharmacology
      • General Agricultural and Biological Sciences
      • Computational Theory and Mathematics

      Disciplines

      • Mathematics

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