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An Improved Method on Wilcoxon Rank Sum Test for...
Journal article

An Improved Method on Wilcoxon Rank Sum Test for Gene Selection from Microarray Experiments

Abstract

Selecting a small subset out of the thousands of genes in microarray data is important for accurate classification of phenotypes. In this paper, we propose a flexible rank-based nonparametric procedure for gene selection from microarray data. In the method we propose a statistic for testing whether area under receiver operating characteristic curve (AUC) for each gene is equal to 0.5 allowing different variance for each gene. The contribution …

Authors

Hossain A; Willan AR; Beyene J

Journal

Communications in Statistics - Simulation and Computation, Vol. 42, No. 7, pp. 1563–1577

Publisher

Taylor & Francis

Publication Date

August 2013

DOI

10.1080/03610918.2012.667479

ISSN

0361-0918