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Generalizations of Markov model to characterize biological ...
BMC Bioinformatics
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BMC Bioinformatics
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由 J Wang 著作2005被引用 16 次 — We describe a configurable tool to explore generalizations of the standard Markov model. We evaluated whether the sequence classification ...
Generalizations of Markov model to characterize biological ...
National Institutes of Health (NIH) (.gov)
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由 J Wang 著作2005被引用 16 次 — The evaluation was done on four classes of biological sequences--CpG-poor promoters, all promoters, exons and nucleosome positioning sequences.
Generalizations of Markov model to characterize biological ...
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A configurable tool to explore generalizations of the standard Markov model to incorporate joint and long range dependencies between the sequence elements ...
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Using di- and tri-nucleotide as the model unit significantly improved the sequence classification accuracy relative to the standard single nucleotide model. In ...
Generalizations of Markov model to characterize biological ...
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Many of the same modeling methods used in natural languages, speci cally Markov models and HMM's, have also been applied to biological sequence analysis. In ...
Hidden Markov Models and their Applications in Biological ...
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由 BJ Yoon 著作2009被引用 579 次 — Hidden Markov models (HMMs) have been extensively used in biological sequence analysis. In this paper, we give a tutorial review of HMMs and their applications.
An introduction to hidden Markov models for biological ...
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由 A Krogh 著作1998被引用 290 次 — A hidden Markov model (HMM) is a statistical model, which is very well suited for many tasks in molecular biology.
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Generalizations of Markov model to characterize biological ...
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3 Motivation Markov Model – statistical technique to model sequences such that the probability of a sequence element is based on a limited context preceding ...
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Generalizations of Markov model to characterize biological sequences. The currently used k th order Markov models estimate the probability of generating a ...
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