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BMCBI
2005

Generalizations of Markov model to characterize biological sequences

13 years 10 months ago
Generalizations of Markov model to characterize biological sequences
Background: The currently used kth order Markov models estimate the probability of generating a single nucleotide conditional upon the immediately preceding (gap = 0) k units. However, this neither takes into account the joint dependency of multiple neighboring nucleotides, nor does it consider the long range dependency with gap>0. Result: We describe a configurable tool to explore generalizations of the standard Markov model. We evaluated whether the sequence classification accuracy can be improved by using an alternative set of model parameters. The evaluation was done on four classes of biological sequences
Junwen Wang, Sridhar Hannenhalli
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2005
Where BMCBI
Authors Junwen Wang, Sridhar Hannenhalli
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