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A new algorithm to train hidden Markov models for biological sequences with partial labels
BACKGROUND: Hidden Markov models (HMM) are a powerful tool for analyzing biological sequences in a wide variety of applications, from profiling functional protein families to identifying functional domains. The standard method used for HMM training is either by maximum likelihood using counting when...
Wedi'i Gadw mewn:
| Cyhoeddwyd yn: | BMC Bioinformatics |
|---|---|
| Prif Awduron: | , , |
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
BioMed Central
2021
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| Pynciau: | |
| Mynediad Ar-lein: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7995745/ https://ncbi.nlm.nih.gov/pubmed/33771095 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04080-0 |
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