A dynamic Bayesian network approach to protein secondary structure prediction
A dynamic Bayesian network approach to protein secondary structure prediction
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Publisher
England: BioMed Central Ltd
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Language
English
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England: BioMed Central Ltd
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Contents
Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful information relevant to sequence-structure relationship. However, at present, the prediction accuracy of pure HMM-type methods is much lower than that of machine learning-based methods such as...
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Full title
A dynamic Bayesian network approach to protein secondary structure prediction
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TN_cdi_doaj_primary_oai_doaj_org_article_c5e2078f49e94821a7edaa04beebb49d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c5e2078f49e94821a7edaa04beebb49d
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ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/1471-2105-9-49
