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Article
Genetic Code, Attributive Mappings and Stochastic Matrices
Bulletin of Mathematical Biology
  • Matthew He, Nova Southeastern University
Document Type
Article
Publication Date
9-1-2004
Disciplines
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.

DOI
10.1016/j.bulm.2003.10.002
Citation Information
Matthew He. "Genetic Code, Attributive Mappings and Stochastic Matrices" Bulletin of Mathematical Biology Vol. 66 Iss. 5 (2004) p. 965 - 973 ISSN: 0092-8240
Available at: http://works.bepress.com/matthew-he/24/