Diverse correlation structures in gene expression data and their utility in improving statistical inference

DOI10.1214/07-AOAS120zbMath1126.62105arXiv0712.2130MaRDI QIDQ2466477

Lev B. Klebanov, Andrej Yu. Yakovlev

Publication date: 15 January 2008

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

Full work available at URL: https://arxiv.org/abs/0712.2130

zbMATH Keywords

microarrays

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Biochemistry, molecular biology (92C40) Testing in survival analysis and censored data (62N03)

Related Items (4)

Chromosome-specific spatial periodicities in gene expression revealed by spectral analysis ⋮ Consistency of large dimensional sample covariance matrix under weak dependence ⋮ Balancing type one and two errors in multiple testing for differential expression of genes ⋮ Control of the FWER in Multiple Testing Under Dependence

Uses Software

• bootstrap

Cites Work

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• A permutation test motivated by microarray data analysis
• Control of the mean number of false discoveries, Bonferroni and stability of multiple testing
• Robbins, empirical Bayes and microarrays
• Variable selection and pattern recognition with gene expression data generated by the microarray technology
• Empirical Bayes Analysis of a Microarray Experiment
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• Correlation and Large-Scale Simultaneous Significance Testing
• Large-Scale Simultaneous Hypothesis Testing
• Classifying Gene Expression Profiles from Pairwise mRNA Comparisons
• Multivariate exploratory tools for microarray data analysis

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