Introduction

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.

Publications

  1. unifiedWMWqPCR: the unified Wilcoxon-Mann-Whitney test for analyzing RT-qPCR data in R.
    Cite this
    De Neve J, Meys J, Ottoy JP, Clement L, Thas O, 2014-09-01 - Bioinformatics (Oxford, England)

Credits

  1. Jan De Neve
    Developer

    Department of Mathematical Modelling, Statistics and Bioinformatics, Belgium

  2. Joris Meys
    Developer

    Department of Mathematical Modelling, Statistics and Bioinformatics, Belgium

  3. Jean-Pierre Ottoy
    Developer

    Department of Mathematical Modelling, Statistics and Bioinformatics, Belgium

  4. Lieven Clement
    Developer

    Department of Mathematical Modelling, Statistics and Bioinformatics, Belgium

  5. Olivier Thas
    Investigator

    Department of Mathematical Modelling, Statistics and Bioinformatics, Belgium

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Summary
AccessionBT000902
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesR
User InterfaceTerminal Command Line
Download Count0
Country/RegionAustralia
Submitted ByOlivier Thas