A permutation test motivated by microarray data analysis

DOI10.1016/J.CSDA.2005.08.005zbMath1298.62007OpenAlexW2061042963MaRDI QIDQ959444

Yuanhui Xiao, Andrej Yu. Yakovlev, Hartmut Land, Alexander Ya. Gordon, Lev B. Klebanov

Publication date: 11 December 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.2005.08.005

zbMATH Keywords

permutation testsnonparametric inferencemicroarray analysistwo-sample statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items (6)

Chromosome-specific spatial periodicities in gene expression revealed by spectral analysis ⋮ NORMALITY OF GENE EXPRESSION REVISITED ⋮ Bootstrap and permutation tests of independence for point processes ⋮ Tests for the multivariatek-sample problem based on the empirical characteristic function ⋮ Diverse correlation structures in gene expression data and their utility in improving statistical inference ⋮ Balancing type one and two errors in multiple testing for differential expression of genes

Uses Software

• affy
• sma

Cites Work

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• Multiple hypothesis testing in microarray experiments.
• Variable selection and pattern recognition with gene expression data generated by the microarray technology
• Significance analysis of microarrays applied to the ionizing radiation response
• Statistical significance for genomewide studies
• Generalized Rank Tests for Replicated Microarray Data
• Multivariate exploratory tools for microarray data analysis

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