Tail Posterior Probability for Inference in Pairwise and Multiclass Gene Expression Data
DOI10.1111/j.1541-0420.2007.00807.xzbMath1141.62084OpenAlexW2079783210WikidataQ31140028 ScholiaQ31140028MaRDI QIDQ5449910
Natalia A. Bochkina, Sylvia Richardson
Publication date: 19 March 2008
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2007.00807.x
differential expressionmicroarray gene expressioncompound hypothesisequivalence of Bayesian and frequentist inferencemulticlass datatail posterior probability
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Biochemistry, molecular biology (92C40)
Related Items (3)
Uses Software
Cites Work
- Biostatistics and Bayes. With comments and a rejoinder by the author
- Analyzing Microarray Gene Expression Data
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
- Optimal Sample Size for Multiple Testing
- A Direct Approach to False Discovery Rates
- Bayesian Modeling of Differential Gene Expression
- Bayesian Robust Inference for Differential Gene Expression in Microarrays with Multiple Samples
- Parameterization and Bayesian Modeling
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
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