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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 |
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Author | Jakob Willforss |
Bioconductor views | Bayesian DifferentialExpression Metabolomics MultipleComparison Normalization Proteomics Visualization |
Maintainer | Jakob Willforss <jakob.willforss@immun.lth.se> |
License | Artistic-2.0 |
Version | 1.8.0 |
URL | https://github.com/ComputationalProteomics/NormalyzerDE |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
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