An Empirical Bayes' Approach to Joint Analysis of Multiple Microarray Gene Expression Studies

DOI10.1111/J.1541-0420.2011.01602.XzbMath1274.62864OpenAlexW2138507584WikidataQ42598654 ScholiaQ42598654MaRDI QIDQ2893427

Lingyan Ruan, Ming Yuan

Publication date: 20 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6201754

zbMATH Keywords

empirical Bayesmixture modelgene expressionjoint analysis

Mathematics Subject Classification ID

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

Uses Software

• EBarrays

Cites Work

• The analysis of gene expression data. Methods and software
• A Bayesian Model for Cross-Study Differential Gene Expression
• Cross-study validation and combined analysis of gene expression microarray data
• Empirical Bayes Analysis of a Microarray Experiment
• Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations
• Bayesian Inference for Gene Expression and Proteomics
• Random forests

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