Error statistics of hidden Markov model and hidden Boltzmann model results

BACKGROUND: Hidden Markov models and hidden Boltzmann models are employed in computational biology and a variety of other scientific fields for a variety of analyses of sequential data. Whether the associated algorithms are used to compute an actual probability or, more generally, an odds ratio or s...

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Detalles Bibliográficos
Autor principal: Newberg, Lee A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2722652/
https://www.ncbi.nlm.nih.gov/pubmed/19589158
http://dx.doi.org/10.1186/1471-2105-10-212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2722652/
https://www.ncbi.nlm.nih.gov/pubmed/19589158
http://dx.doi.org/10.1186/1471-2105-10-212

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