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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13850

Title: An Omnibus Consistent Adaptive Percentile Modified Wilcoxon Rank Sum Test with Applications in Gene Expression Studies
Authors: Thas, Olivier
Rayner, John C. W.
Carvalho, Beatriz
Van Criekinge, Wim
Issue Date: 2012
Citation: BIOMETRICS, 68 (2), p. 446-454
Abstract: We present an adaptive percentile modified Wilcoxon rank sum test for the two-sample problem. The test is basically a Wilcoxon rank sum test applied on a fraction of the sample observations, and the fraction is adaptively determined by the sample observations. Most of the theory is developed under a location-shift model, but we demonstrate that the test is also meaningful for testing against more general alternatives. The test may be particularly useful for the analysis of massive datasets in which quasi-automatic hypothesis testing is required. We investigate the power characteristics of the new test in a simulation study, and we apply the test to a microarray experiment on colorectal cancer. These empirical studies demonstrate that the new test has good overall power and that it succeeds better in finding differentially expressed genes as compared to other popular tests. We conclude that the new nonparametric test is widely applicable and that its power is comparable to the power of the Baumgartner-Wei beta-Schindler test.
Notes: [Thas, Olivier; Clement, Lieven; Van Criekinge, Wim] Univ Ghent, Dept Math Modeling Stat & Bioinformat, B-9000 Ghent, Belgium. [Clement, Lieven] Katholieke Univ Leuven, B-3000 Louvain, Belgium. [Clement, Lieven] Univ Hasselt, B-3000 Louvain, Belgium. [Rayner, John C. W.] Univ Wollongong, Sch Math & Appl Stat, Ctr Stat & Survey Methodol, Wollongong, NSW 2522, Australia. [Rayner, John C. W.] Univ Newcastle, Sch Math & Phys Sci, Callaghan, NSW 2308, Australia. [Carvalho, Beatriz] Vrije Univ Amsterdam, Med Ctr, Dept Pathol, NL-1081 HV Amsterdam, Netherlands. olivier.thas@ugent.be
URI: http://hdl.handle.net/1942/13850
DOI: 10.1111/j.1541-0420.2012.01750.x
ISI #: 000305691900013
ISSN: 0006-341X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2013
Appears in Collections: Research publications

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