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

Package details

AuthorJakob Willforss
Bioconductor views Bayesian DifferentialExpression Metabolomics MultipleComparison Normalization Proteomics Visualization
Maintainer
LicenseArtistic-2.0
Version1.13.2
URL https://github.com/ComputationalProteomics/NormalyzerDE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ComputationalProteomics/NormalyzerDE")
ComputationalProteomics/NormalyzerDE documentation built on May 1, 2022, 5:36 a.m.