A new proposal for a principal component-based test for high-dimensional data applied to the analysis of PhyloChip data

DOI10.1002/BIMJ.201000164zbMath1239.62074OpenAlexW1949273125WikidataQ34101378 ScholiaQ34101378MaRDI QIDQ2893533

Holger Heuer, Kornelia Smalla, Guo-Chun Ding, Siegfried Kropf

Publication date: 21 June 2012

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201000164

zbMATH Keywords

rotation test

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15) Biochemistry, molecular biology (92C40)

Related Items (1)

Use of multivariate distance measures for high‐dimensional data in tests for difference, superiority, equivalence and non‐inferiority

Cites Work

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• Rotation test with pairwise distance measures of sample vectors in a GLM
• Multivariate tests based on left-spherically distributed linear scores
• Rotation Testing in Gene Set Enrichment Analysis for Small Direct Comparison Experiments
• Exact t and F Tests for Analyzing Studies with Multiple Endpoints
• New Tests for Data with an Inherent Structure
• Search for relevant sets of variables in a high‐dimensional setup keeping the familywise error rate
• On the exact distribution of Wilks's criterion
• Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification

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