Publicado 12 números por año
ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337
Indexed in
Bayesian Recognition Procedure of Gene Fragments in DNA
SINOPSIS
On the basis of instrument of Bayesian approach and Markov chain, the recognition procedure for gene fragments is obtained. The procedure has high percentage of recognition 80−90 % and is simple and effective in computation. The applicability of the 1st order Markov chain to the recognition of gene fragments of genome of an organism Caenorhabditis Elegans is described.
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Gupal A.M., Sergienko I.V., Optimal recognition procedures.
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Gupal A.M., Gupal N.A., Ostrovskiy A.V., Symmetry and properties of genetic information recording in DNA.
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Sergienko I.V., Gupal A.M., Vagis A.A., Symmetry in encoding genetic information in DNA.
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Sergienko I.V., Gupal A.M., Vagis A.A., Symmetry and properties of genetic information record in DNA.
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Batzoglou S., Alexandersson M., Pachter L.,Saxonov S. , Gene recognition.
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Sergienko I.V., Biletskyy B.A., Gupal A.M., Predicting torsion angles in amino acid protein sequences based on a Bayesian classification procedure on Markov chains.
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Palagin A.V., Gupal A.M., Rzhepetskiy S.S., Bayesian recognition procedures of literary texts.
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Anderson T.W., Goodman L.A., Statistical inference about Markov chains.
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Sergienko I. V., Gupal A. M., Ostrovsky A. V., Recognition of DNA gene fragments using hidden Markov models, Cybernetics and Systems Analysis, 48, 3, 2012. Crossref