A novel, fast, HMM-with-Duration implementation – for application with a new, pattern recognition informed, nanopore detector
<p>Abstract</p> <p>Background</p> <p>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 (rec...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2007-11-01
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| Series: | BMC Bioinformatics |