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New decoding algorithms for Hidden Markov Models using distance measures on labellings

BACKGROUND: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. RESULTS: We give a set of algorithms to compute the conditional probability of all labellings "near" a reference labelling λ for a sequence y for a variet...

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Autori principali: Brown, Daniel G, Truszkowski, Jakub
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2010
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3009513/
https://ncbi.nlm.nih.gov/pubmed/20122214
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-S1-S40
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