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A novel, fast, HMM-with-Duration implementation – for application with a new, pattern recognition informed, nanopore detector
BACKGROUND: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) is an HMM that can also exactly model the hidden-label length (recurrence) distributions – while the regular HMM will imp...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2099487/ https://www.ncbi.nlm.nih.gov/pubmed/18047718 http://dx.doi.org/10.1186/1471-2105-8-S7-S19 |