Using compositions of Markov models to determine functional gene fragments

Using compositions of Markov models to determine functional gene fragments

Algorithmic compositions in the form of expert mixtures with exclusive competence zones are considered in order to increase the quality of classification of gene fragments with the help of models based on Markov chains.

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Veröffentlicht in:Cybernetics and systems analysis 2013-09, Vol.49 (5), p.692-698
Hauptverfasser: Gupal, A. M., Ostrovsky, A. V.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial Intelligence
Classification
Control
Cybernetics
Fragments
Genes
Genomes
Genomics
Markov analysis
Markov chains
Markov models
Markov processes
Mathematics
Mathematics and Statistics
Probability
Processor Architectures
Proteins
Software Engineering/Programming and Operating Systems
Studies
Systems analysis
Systems Theory
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Beschreibung
Zusammenfassung:Algorithmic compositions in the form of expert mixtures with exclusive competence zones are considered in order to increase the quality of classification of gene fragments with the help of models based on Markov chains.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-013-9556-6