Testing the disjunction hypothesis using Voronoi diagrams with applications to genetics

DOI10.1214/13-AOAS707zbMath1454.62376arXiv1312.5782MaRDI QIDQ400606

Debashis Ghosh, Daisy Phillips

Publication date: 22 August 2014

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1312.5782

zbMATH Keywords

multiple testingempirical null distributionsfalse discovery ratesVoronoi tassellations

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)

Related Items

Optimal detection of weak positive latent dependence between two sequences of multiple tests ⋮ Testing the disjunction hypothesis using Voronoi diagrams with applications to genetics ⋮ Nonparametric false discovery rate control for identifying simultaneous signals

Uses Software

• mixfdr
• fdrtool
• DAVID

Cites Work

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• Testing the disjunction hypothesis using Voronoi diagrams with applications to genetics
• A systematic comparison of methods for combining \(p\)-values from independent tests
• An empirical Bayes mixture method for effect size and false discovery rate estimation
• Karl Pearson's meta-analysis revisited
• Asymptotics for statistical distances based on Voronoi tessellations
• Incorporating the Empirical Null Hypothesis into the Benjamini-Hochberg Procedure
• Adaptive linear step-up procedures that control the false discovery rate
• Screening for Partial Conjunction Hypotheses
• A Direct Approach to False Discovery Rates
• Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons
• Correlation and Large-Scale Simultaneous Significance Testing
• Large-Scale Simultaneous Hypothesis Testing
• Comments on: Augmenting the bootstrap to analyze high dimensional genomic data