Hidden Markov Chain
Mostrando 1-8 de 8 artigos, teses e dissertações.
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1. Estimação paramétrica e não-paramétrica em modelos de markov ocultos
In this work we study the Hidden Markov Models with nite as well as general state space. In the nite case, the forward and backward algorithms are considered and the probability of a given observed sequence is computed. Next, we use the EM algorithm to estimate the model parameters. In the general case, the kernel estimators are used and to built a sequence
Publicado em: 2010
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2. Comparison of algorithms used in the construction of genetic linkage maps / Comparação de algoritmos usados na construção de mapas genéticos
Genetic linkage maps are linear arrangements showing the order and distance between loci in chromosomes of a particular species. Recently, the availability of molecular markers has made such maps more saturated and efficient methods are needed for their construction. One of the steps that deserves more attention in the construction of genetic linkage maps is
Publicado em: 2008
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3. MYOP: um arcabouço para predição de genes ab initio" / MYOP: A framework for building ab initio gene predictors
The demand for efficient approaches for the gene structure prediction has motivated the implementation of different programs. In this work, we have analyzed successful programs that apply the probabilistic approach. We have observed similarities between different implementations, the same mathematical framework called generalized hidden Markov chain (GHMM) i
Publicado em: 2007
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4. Hidden Markov Analysis of Nucleosome Unwrapping Under Force
Transient conformational changes of DNA-protein complexes play an important role in the DNA metabolism but are generally difficult to resolve. Single molecule force spectroscopy has the unique capability to follow such reactions but Brownian fluctuations in the end-to-end distance of a DNA tether can obscure these events. Here we measured the force-induced u
The Biophysical Society.
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5. Cortical activity flips among quasi-stationary states.
Parallel recordings of spike trains of several single cortical neurons in behaving monkeys were analyzed as a hidden Markov process. The parallel spike trains were considered as a multivariate Poisson process whose vector firing rates change with time. As a consequence of this approach, the complete recording can be segmented into a sequence of a few statist
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6. Allosteric Control of Gating Mechanisms Revisited: The Large Conductance Ca2+-Activated K+ Channel
Large-conductance Ca2+-activated K+ channels (BK) play a fundamental role in modulating membrane potential in many cell types. The gating of BK channels and its modulation by Ca2+ and voltage has been the subject of intensive research over almost three decades, yielding several of the most complicated kinetic mechanisms ever proposed. A large number of open
The Biophysical Society.
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7. Predicting ligand-binding function in families of bacterial receptors
The three-dimensional fold of a new protein sequence can often be inferred directly from sequence homology to a protein of known structure. The function of a new protein sequence is more difficult to predict, however, since homologues can have different molecular and cellular functions. To develop and automate computational methods for determining molecular
The National Academy of Sciences.
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8. A compositional segmentation of the human mitochondrial genome is related to heterogeneities in the guanine mutation rate
We applied a hidden Markov model segmentation method to the human mitochondrial genome to identify patterns in the sequence, to compare these patterns to the gene structure of mtDNA and to see whether these patterns reveal additional characteristics important for our understanding of genome evolution, structure and function. Our analysis identified three seg
Oxford University Press.