NormalyzerDE provides screening of normalization methods for LCMS based expression data. It calculates a range of normalized matrices using both existing approaches and a novel timesegmented approach, calculates performance measures and generates an evaluation report. Furthermore, it provides an easy utility for Limma or ANOVA based differential expression analysis.
Package details 


Author  Jakob Willforss 
Bioconductor views  Bayesian DifferentialExpression Metabolomics MultipleComparison Normalization Proteomics Visualization 
Maintainer  
License  Artistic2.0 
Version  1.13.2 
URL  https://github.com/ComputationalProteomics/NormalyzerDE 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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