Optimal significance analysis of microarray data in a class of tests whose null statistic can be constructed

DOI10.1007/s11749-011-0243-5zbMath1318.62051OpenAlexW2017112131MaRDI QIDQ1936546

Takayuki Sakaguchi, Hironori Fujisawa

Publication date: 5 February 2013

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-011-0243-5

zbMATH Keywords

small samplemicroarray datamultiple testuniformly most powerful unbiased testnull statistic

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (1)

A modified two-sample t-test based on permutation method for large-scale data

Cites Work

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• Significance analysis of microarrays applied to the ionizing radiation response
• Permutation Filtering: A Novel Concept for Significance Analysis of Large-Scale Genomic Data
• Empirical Bayes Analysis of a Microarray Experiment
• A Direct Approach to False Discovery Rates
• Testing Statistical Hypotheses
• Statistical significance for genomewide studies
• Bayesian Robust Inference for Differential Gene Expression in Microarrays with Multiple Samples

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