A Bayesian mixture model for differential gene expression
We propose model-based inference for differential gene expression, using a nonparametric
Bayesian probability model for the distribution of gene intensities under various conditions …
Bayesian probability model for the distribution of gene intensities under various conditions …
[引用][C] A Bayesian mixture model for differential gene expression
KA DO, P MÜLLER, F TANG - Applied statistics, 2005 - pascal-francis.inist.fr
A Bayesian mixture model for differential gene expression CNRS Inist Pascal-Francis CNRS
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[PDF][PDF] A Bayesian Mixture Model for Differential Gene Expression
KA Do, P Müller, F Tang - ma.utexas.edu
We propose model-based inference for differential gene expression, using a non-parametric
Bayesian probability model for the distribution of gene intensities under different conditions …
Bayesian probability model for the distribution of gene intensities under different conditions …
A Bayesian mixture model for differential gene expression
KA Do, P Müller, F Tang - Journal of the Royal Statistical Society …, 2005 - ideas.repec.org
We propose model‐based inference for differential gene expression, using a nonparametric
Bayesian probability model for the distribution of gene intensities under various conditions …
Bayesian probability model for the distribution of gene intensities under various conditions …
A Bayesian mixture model for differential gene expression.
KA Do, P Müller, F Tang - Journal of the Royal Statistical …, 2005 - search.ebscohost.com
We propose model-based inference for differential gene expression, using a nonparametric
Bayesian probability model for the distribution of gene intensities under various conditions …
Bayesian probability model for the distribution of gene intensities under various conditions …
A Bayesian mixture model for differential gene expression
KA Do, P Müller, F Tang - Journal of the …, 2005 - mdanderson.elsevierpure.com
We propose model-based inference for differential gene expression, using a non-parametric
Bayesian probability model for the distribution of gene intensities under various conditions …
Bayesian probability model for the distribution of gene intensities under various conditions …
A Bayesian Mixture Model for Differential Gene Expression
KA Do, P Müller, F Tang - Applied Statistics, 2005 - JSTOR
We propose model-based inference for differential gene expression, using a nonparametric
Bayesian probability model for the distribution of gene intensities under various conditions …
Bayesian probability model for the distribution of gene intensities under various conditions …
A Bayesian mixture model for differential gene expression
KA Do, P Müller, F Tang - Journal of the Royal Statistical …, 2005 - econpapers.repec.org
We propose model‐based inference for differential gene expression, using a nonparametric
Bayesian probability model for the distribution of gene intensities under various conditions …
Bayesian probability model for the distribution of gene intensities under various conditions …
A Bayesian Mixture Model for Differential Gene Expression
KA Do, P Müller, F Tang - Journal of the Royal Statistical Society Series …, 2005 - cir.nii.ac.jp
抄録< jats: title> Summary</jats: title>< jats: p> We propose model-based inference for
differential gene expression, using a nonparametric Bayesian probability model for the …
differential gene expression, using a nonparametric Bayesian probability model for the …
A Bayesian mixture model for differential gene expression
KA Do, P Müller, F Tang - … of the Royal Statistical Society: Series …, 2005 - Wiley Online Library
We propose model‐based inference for differential gene expression, using a nonparametric
Bayesian probability model for the distribution of gene intensities under various conditions …
Bayesian probability model for the distribution of gene intensities under various conditions …