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An empirical analysis of training protocols for probabilistic gene finders
BACKGROUND: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the recent proliferation of GHMM implementations. While prevailing methods for modeling and parsing genes using GHMMs have been...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2004
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC544851/ https://ncbi.nlm.nih.gov/pubmed/15613242 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-5-206 |
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