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What is Wilcoxon Rank Sum Test

Chapter 48
Encyclopedia of Artificial Intelligence
A nonparametric alternative to the two sample t-test which is based on the order in which the observations from the two samples fall.
Published in Chapter:
CNS Tumor Prediction Using Gene Expression Data Part II
Atiq Islam (University of Memphis, USA), Khan M. Iftekharuddin (University of Memphis, USA), E. Olusegun George (University of Memphis, USA), and David J. Russomanno (University of Memphis, USA)
Copyright: © 2009 |Pages: 6
DOI: 10.4018/978-1-59904-849-9.ch048
Abstract
In this chapter, we propose a novel algorithm for characterizing a variety of CNS tumors. The proposed algorithm is illustrated with an analysis of an Affymetrix gene expression data from CNS tumor samples (Pomeroy et al., 2002). As discussed in the previous chapter entitled: CNS Tumor Prediction Using Gene Expression Data Part I, we used an ANOVA model to normalize the microarray gene expression measurements. In this chapter, we introduce a systemic way of building tumor prototypes to facilitate automatic prediction of CNS tumors.
Full Text Chapter Download: US $37.50 Add to Cart
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Chapter 47
CNS Tumor Prediction Using Gene Expression Data Part I
A nonparametric alternative to the two sample t-test which is based on the order in which the observations from the two samples fall.
Published in Chapter: CNS Tumor Prediction Using Gene Expression Data Part I; From: Encyclopedia of Artificial Intelligence
Full Text Chapter Download: US $37.50 Add to Cart
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