Predicting gene structure with the use of mixtures of probability distributions

DOI10.1007/S10559-015-9728-7zbMath1327.93360OpenAlexW617270116MaRDI QIDQ891714

Ivan V. Sergienko, Alexey Ostrovsky, Anatol M. Gupal

Publication date: 17 November 2015

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-015-9728-7

zbMATH Keywords

likelihoodnucleotideMarkov chainbioinformaticshidden variablesexonintrongene

Mathematics Subject Classification ID

Stochastic systems in control theory (general) (93E03) Genetics and epigenetics (92D10) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

Solving linear unconstrained problems of combinatorial optimization on arrangements under stochastic uncertainty

Cites Work

• Using compositions of Markov models to determine functional gene fragments
• Using EM-algorithm for gene classification
• Predicting protein secondary structure based on Bayesian classification procedures on Markovian chains

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