The optimal discovery procedure for large-scale significance testing, with applications to comparative microarray experiments

From MaRDI portal
Publication:3592122

DOI10.1093/biostatistics/kxl019zbMath1213.62175OpenAlexW2132324858WikidataQ42596288 ScholiaQ42596288MaRDI QIDQ3592122

James Y. Dai, Jeffrey T. Leek, John D. Storey

Publication date: 12 September 2007

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxl019




Related Items (19)

Vladimir Steklov: a mathematician at the turn of the eraA Bayesian decision procedure for testing multiple hypotheses in DNA microarray experimentsEstimation of the proportion of true null hypotheses in high-dimensional data under dependenceEmpirical Bayes Confidence Intervals for Selected Parameters in High-Dimensional DataAn empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture modelsInvestigations into refinements of Storey's method of multiple hypothesis testing minimising the FDR, and its application to test binomial dataEfficient testing and effect size estimation for set‐based genetic association inference via semiparametric multilevel mixture modelingEfficient screening of predictive biomarkers for individual treatment selectionA method for modifying multiple testing proceduresConfidence and discoveries with \(e\)-valuesPower-enhanced multiple decision functions controlling family-wise error and false discovery ratesAdaptive procedures for directional false discovery rate controlTesting significance of features by lassoed principal componentsProperties of higher criticism under strong dependenceUnsupervised empirical Bayesian multiple testing with external covariatesSpecies Sampling Priors for Modeling Dependence: An Application to the Detection of Chromosomal AberrationsLOPSIDED REASONING ON LOPSIDED TESTS AND MULTIPLE COMPARISONSGeneralized Species Sampling Priors With Latent Beta ReinforcementsMulti-subgroup gene screening using semi-parametric hierarchical mixture models and the optimal discovery procedure: Application to a randomized clinical trial in multiple myeloma


Uses Software



This page was built for publication: The optimal discovery procedure for large-scale significance testing, with applications to comparative microarray experiments