unifiedWMWqPCR
This is the released version of unifiedWMWqPCR; for the devel version, see unifiedWMWqPCR.
Unified Wilcoxon-Mann Whitney Test for testing differential expression in qPCR data
Bioconductor version: Release (3.20)
This packages implements the unified Wilcoxon-Mann-Whitney Test for qPCR data. This modified test allows for testing differential expression in qPCR data.
Author: Jan R. De Neve & Joris Meys
Maintainer: Joris Meys <Joris.Meys at UGent.be>
Citation (from within R, enter
citation("unifiedWMWqPCR")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("unifiedWMWqPCR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("unifiedWMWqPCR")
Using unifiedWMWqPCR | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DifferentialExpression, GeneExpression, MicrotitrePlateAssay, MultipleComparison, QualityControl, Software, Visualization, qPCR |
Version | 1.42.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (10.5 years) |
License | GPL (>=2) |
Depends | methods |
Imports | BiocGenerics, limma, stats, graphics |
System Requirements | |
URL |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | unifiedWMWqPCR_1.42.0.tar.gz |
Windows Binary (x86_64) | unifiedWMWqPCR_1.42.0.zip |
macOS Binary (x86_64) | unifiedWMWqPCR_1.42.0.tgz |
macOS Binary (arm64) | unifiedWMWqPCR_1.42.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/unifiedWMWqPCR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/unifiedWMWqPCR |
Bioc Package Browser | https://code.bioconductor.org/browse/unifiedWMWqPCR/ |
Package Short Url | https://bioconductor.org/packages/unifiedWMWqPCR/ |
Package Downloads Report | Download Stats |