This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see NormalyzerDE.
Bioconductor version: 3.14
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 hotmail.com>
Citation (from within R,
enter citation("NormalyzerDE")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("NormalyzerDE")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("NormalyzerDE")
R Script | Differential expression and countering technical biases using NormalyzerDE | |
Reference Manual | ||
Text | NEWS |
biocViews | Bayesian, DifferentialExpression, Metabolomics, MultipleComparison, Normalization, Proteomics, Software, Visualization |
Version | 1.12.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (3.5 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 |
LinkingTo | |
Suggests | knitr, testthat, rmarkdown, roxygen2, hexbin, BiocStyle |
SystemRequirements | |
Enhances | |
URL | https://github.com/ComputationalProteomics/NormalyzerDE |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | NormalyzerDE_1.12.0.tar.gz |
Windows Binary | NormalyzerDE_1.12.0.zip |
macOS 10.13 (High Sierra) | NormalyzerDE_1.12.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/NormalyzerDE |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/NormalyzerDE |
Package Short Url | https://bioconductor.org/packages/NormalyzerDE/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: