On estimating the proportion of true null hypotheses for false discovery rate controlling procedures in exploratory DNA microarray studies

DOI10.1016/J.CSDA.2004.01.006zbMath1429.62577OpenAlexW2034863539MaRDI QIDQ957038

Danh V. Nguyen

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.01.006

zbMATH Keywords

\(p\)-valuedifferential gene expressionDNA microarraymultiple hypothesis testingfalse discovery rate

Mathematics Subject Classification ID

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

Related Items (4)

Estimation of the proportion of true null hypotheses in high-dimensional data under dependence ⋮ Estimating the proportion of true null hypotheses using the pattern of observedp-values ⋮ The Beta-Binomial SGoF method for multiple dependent tests ⋮ Comparisons of estimators of the number of true null hypotheses and adaptive FDR procedures in multiplicity testing

Cites Work

• Unnamed Item
• On partial least squares dimension reduction for microarray-based classification: a simulation study
• The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
• A mixture model approach for the analysis of microarray gene expression data.
• The control of the false discovery rate in multiple testing under dependency.
• Significance analysis of microarrays applied to the ionizing radiation response
• DNA Microarray Experiments: Biological and Technological Aspects
• A Direct Approach to False Discovery Rates
• Statistical significance for genomewide studies

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