Bayesian recursive mixed linear model for gene expression analyses with continuous covariates.

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Bayesian recursive mixed linear model for gene expression analyses with continuous covariates.

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2011 nî lūn-bûn

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2011年の論文

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2011年学术文章

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2011年学术文章

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2011年学术文章

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2011年学术文章

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2011年学术文章

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2011年學術文章

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2011年學術文章

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Bayesian recursive mixed linea ...... es with continuous covariates.

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Bayesian recursive mixed linea ...... es with continuous covariates.

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Bayesian recursive mixed linea ...... es with continuous covariates.

@en

Bayesian recursive mixed linea ...... es with continuous covariates.

@nl

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Bayesian recursive mixed linea ...... es with continuous covariates.

@en

Bayesian recursive mixed linea ...... es with continuous covariates.

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P1476

Bayesian recursive mixed linea ...... es with continuous covariates.

@en

P2093

J Casellas

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N Ibáñez-Escriche

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P2860

Statistical tests for differential expression in cDNA microarray experiments

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

Molecular portraits of human breast tumours

Assessing gene significance from cDNA microarray expression data via mixed models

A mixture model-based cluster analysis of DNA microarray gene expression data on Brahman and Brahman composite steers fed high-, medium-, and low-quality diets.

A note on joint versus gene-specific mixed model analysis of microarray gene expression data.

Finite mixture model analysis of microarray expression data on samples of uncertain biological type with application to reproductive efficiency.

GEAMM v.1.4: a versatile program for mixed model analysis of gene expression data.

Between-groups within-gene heterogeneity of residual variances in microarray gene expression data.

Statistical estimation of gene expression using multiple laser scans of microarrays.

P304

67-75

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scholarly article

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10.2527/JAS.2010-3750

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English

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P478

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2011-09-09T00:00:00Z

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51640076

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21908645

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P921

covariate