An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models
From MaRDI portal
Publication:382618
DOI10.1155/2013/568480zbMath1275.92074OpenAlexW2017687404WikidataQ40566390 ScholiaQ40566390MaRDI QIDQ382618
Shigeyuki Matsui, Hisashi Noma
Publication date: 21 November 2013
Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2013/568480
Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Genetics and epigenetics (92D10)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Microarrays, empirical Bayes and the two-groups model
- Estimation of the mean of a multivariate normal distribution
- Design and analysis of DNA microarray investigations.
- The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
- Smoothing the non-parametric estimate of a prior distribution by roughening: A computational study
- Size, power and false discovery rates
- Estimating Effect Sizes of Differentially Expressed Genes for Power and Sample-Size Assessments in Microarray Experiments
- Statistics and Informatics in Molecular Cancer Research
- The optimal discovery procedure for large-scale significance testing, with applications to comparative microarray experiments
- Empirical bayes estimates using the nonparametric maximum likelihood estimate for the priort
- Data Analysis Using Stein's Estimator and its Generalizations
- Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
- A Direct Approach to False Discovery Rates
- Parametric Empirical Bayes Inference: Theory and Applications
- IX. On the problem of the most efficient tests of statistical hypotheses
- Limiting the Risk of Bayes and Empirical Bayes Estimators--Part II: The Empirical Bayes Case
- Statistical analysis of microarray data: a Bayesian approach
- Detecting differential gene expression with a semiparametric hierarchical mixture method
