A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

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A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

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wetenschappelijk artikel

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наукова стаття, опублікована у 2006

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A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

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A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

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A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

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A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

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A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

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A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

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P1476

A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

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P2093

Konstantinos Blekas

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P2860

Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment

Approaches to the automatic discovery of patterns in biosequences.

Greedy mixture learning for multiple motif discovery in biological sequences.

Logos: a modular bayesian model for de novo motif detection.

Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

P304

25-34

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P31

scholarly article

P356

10.1007/11752912_5

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P407

English

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2006-01-01T00:00:00Z

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