unifiedWMWqPCR: the unified Wilcoxon-Mann-Whitney test for analyzing RT-qPCR data in R
Recently, De Neve et al (2013) proposed a modification of Wilcoxon-Mann-Whitney (WMW) test for assessing diferential 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 oftware package for this test was available yet. We have developed a Bioconductor package for analysing RT-qPCR data with the uWMW test. The package also provides graphical tools for visualizing the effect sizes.
De Neve, J., Meys, J., Ottoy, J., Clement, L. & Thas, O. (2014). unifiedWMWqPCR: the unified Wilcoxon-Mann-Whitney test for analyzing RT-qPCR data in R. Bioinformatics, 30 (17), 2494-2496.