DOI: 10.18129/B9.bioc.NormalyzerDE  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see NormalyzerDE.

Evaluation of normalization methods and calculation of differential expression analysis statistics

Bioconductor version: 3.17

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.

Author: Jakob Willforss

Maintainer: Jakob Willforss <jakob.willforss at>

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PDF R Script Differential expression and countering technical biases using NormalyzerDE
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biocViews Bayesian, DifferentialExpression, Metabolomics, MultipleComparison, Normalization, Proteomics, Software, Visualization
Version 1.18.1
In Bioconductor since BioC 3.8 (R-3.5) (5 years)
License Artistic-2.0
Depends R (>= 3.6)
Imports vsn, preprocessCore, limma, MASS, ape, car, ggplot2, methods, Biobase, RcmdrMisc, raster, utils, stats, SummarizedExperiment, matrixStats, ggforce
Suggests knitr, testthat, rmarkdown, roxygen2, hexbin, BiocStyle
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