Empirical and fully Bayesian approaches for random effects models in microarray data analysis

DOI10.1177/1471082X1001100105MaRDI QIDQ4970596

Haim Y. Bar, Elizabeth D. Schifano

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

EM algorithmempirical Bayeslinear modelLaplace approximationMCMCLEMMA

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction

Uses Software

• WinBUGS
• limma
• BayesDA
• locfdr
• lemma

Cites Work

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• Microarrays, empirical Bayes and the two-groups model
• Laplace approximated EM microarray analysis: an empirical Bayes approach for comparative microarray experiments
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Improved statistical tests for differential gene expression by shrinking variance components estimates
• Hierarchical Bayes models for cDNA microarray gene expression

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