NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics

NormalyzerDE provides screening of normalization methods for LC-MS based expression data. It calculates a range of normalized matrices using both existing approaches and a novel time-segmented 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

AuthorJakob Willforss
Bioconductor views Bayesian DifferentialExpression Metabolomics MultipleComparison Normalization Proteomics Visualization
MaintainerJakob Willforss <[email protected]>
LicenseArtistic-2.0
Version1.0.0
URL https://github.com/ComputationalProteomics/NormalyzerDE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("NormalyzerDE")

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NormalyzerDE documentation built on Nov. 1, 2018, 3:31 a.m.