A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli bacterium data

DOI10.1155/2012/953086zbMath1234.92054OpenAlexW1991832595WikidataQ34219713 ScholiaQ34219713MaRDI QIDQ764244

Juliana Cobre, Francisco Louzada, Erlandson F. Saraiva, Silvana Meira, Luis Aparecido Milan

Publication date: 13 March 2012

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/953086

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Genetics and epigenetics (92D10)

Cites Work

• Unnamed Item
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Empirical Bayes Analysis of a Microarray Experiment
• NORMALITY OF GENE EXPRESSION REVISITED

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