The Block Hidden Markov Model for Biological Sequence Analysis

Abstract

The Hidden Markov Models (HMMs) are widely used for biological sequence analysis because of their ability to incorporate biological information in their structure. An automatic means of optimising the structure of HMMs would be highly desirable. To maintain biologically interpretable blocks inside the HMM, we used a Genetic Algorithm (GA) that has HMM… (More)
DOI: 10.1007/978-3-540-30132-5_13

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