401 search results - page 3 / 81 » Generalizations of Markov model to characterize biological s... |
ISMB
1997
14 years 11 months ago
1997
In bacterial cells, gene expression is regulated by multiple sigma factors, each of which has its promoter specificity, according to their conditions. Thus, if we can discriminate...
AIIA
2007
Springer
15 years 4 months ago
2007
Springer
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
105
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IDA
2006
Springer
14 years 9 months ago
2006
Springer
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
RECOMB
2001
Springer
15 years 10 months ago
2001
Springer
Hidden Markov models (HMMs) have been successfully applied to a variety of problems in molecular biology, ranging from alignment problems to gene nding and annotation. Alignment p...
126
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ECAI
2004
Springer
15 years 3 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...