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unifiedWMWqPCR: the unified Wilcoxon-Mann-Whitney test for analyzing RT-qPCR data in R
Jan De Neve1, Joris Meys1, Jean-Pierre Ottoy1
1Department of Mathematical Modelling, Statistics and Bioinformatics, Department of Applied Mathematics, Computer Science and Statistics, Ghent University, B-9000 Gent, Belgium and National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, University of Wollongong, NSW 2522, Australia.
Motivation:
Recently, De Neve et al. proposed a modification of the Wilcoxon-Mann-Whitney (WMW) test for assessing differential expression based on RT-qPCR data. Their test, referred to as the unified WMW (uWMW) test, incorporates a robust and intuitive normalization and quantifies the probability that the expression from one treatment group exceeds the expression from another treatment group. However, no software package for this test was available yet.
Results:
We have developed a Bioconductor package for analyzing RT-qPCR data with the uWMW test. The package also provides graphical tools for visualizing the effect sizes.
Availability And Implementation:
The unifiedWMWqPCR package and its user documentation can be obtained through Bioconductor.
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