unifiedWMWqPCR

DOI: 10.18129/B9.bioc.unifiedWMWqPCR  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see unifiedWMWqPCR.

Unified Wilcoxon-Mann Whitney Test for testing differential expression in qPCR data

Bioconductor version: 3.16

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>

Installation

To install this package, start R (version "4.2") 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")

 

PDF	R Script	Using unifiedWMWqPCR
PDF		Reference Manual
Text		NEWS

Details

biocViews	DifferentialExpression, GeneExpression, MicrotitrePlateAssay, MultipleComparison, QualityControl, Software, Visualization, qPCR
Version	1.34.0
In Bioconductor since	BioC 2.14 (R-3.1) (9 years)
License	GPL (>=2)
Depends	methods
Imports	BiocGenerics, stats, graphics, HTqPCR
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	unifiedWMWqPCR_1.34.0.tar.gz
Windows Binary	unifiedWMWqPCR_1.34.0.zip
macOS Binary (x86_64)	unifiedWMWqPCR_1.34.0.tgz
macOS Binary (arm64)	unifiedWMWqPCR_1.34.0.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