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Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way. This approach is based on mutual information, probabilistic measures, hidden Markov models, and other purely statistica...
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2006
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1683574/ https://www.ncbi.nlm.nih.gov/pubmed/17118135 http://dx.doi.org/10.1186/1471-2105-7-S2-S14 |