An evolutionary method for learning HMM structure: prediction of protein secondary structure

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An evolving method for learning HMM Structure: prediction of protein secondary structure

Background: The prediction of the secondary structure of proteins is one of the most studied problems in bioinformatics. Despite their success in many problems of biological sequence analysis, Hidden Markov Models (HMMs) have not been used much for this problem, as the complexity of the task makes manual design of HMMs difficult. Therefore, we have developed a method for evolving the structure ...

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ژورنال

عنوان ژورنال: BMC Bioinformatics

سال: 2007

ISSN: 1471-2105

DOI: 10.1186/1471-2105-8-357