ComputationalProteomics/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.
Getting started
Browse package contents
Package details |
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| Author | Jakob Willforss |
| Bioconductor views | Bayesian DifferentialExpression Metabolomics MultipleComparison Normalization Proteomics Visualization |
| Maintainer | |
| License | Artistic-2.0 |
| Version | 1.19.7 |
| 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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