A Bayesian hierarchical model for signal extraction from protein microarrays
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Publication:6617503
DOI10.1002/SIM.9680zbMATH Open1545.62235MaRDI QIDQ6617503
Ingo Ruczinski, Thomas A. Louis, William J. Moss, Sophie Bérubé, Douglas E. Norris, Tamaki Kobayashi, Amy Wesolowski
Publication date: 11 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Generalized beta-generated distributions
- Bayesian ranking and selection methods using hierarchical mixture models in microarray studies
- Triple-goal Estimates in Two-stage Hierarchical Models
- Empirical Bayes Analysis of a Microarray Experiment
- Making the Cut: Improved Ranking and Selection for Large-Scale Inference
- Statistical analysis of microarray data: a Bayesian approach
- Bayesian diagnostic techniques for detecting hierarchical structure
- Loss function based ranking in two-stage, hierarchical models
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