qpcrNorm

DOI: 10.18129/B9.bioc.qpcrNorm    

Data-driven normalization strategies for high-throughput qPCR data.

Bioconductor version: Release (3.15)

The package contains functions to perform normalization of high-throughput qPCR data. Basic functions for processing raw Ct data plus functions to generate diagnostic plots are also available.

Author: Jessica Mar

Maintainer: Jessica Mar <jess at jimmy.harvard.edu>

Citation (from within R, enter citation("qpcrNorm")):

Installation

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

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("qpcrNorm")

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("qpcrNorm")

 

PDF R Script qPCR Normalization Example
PDF   Reference Manual

Details

biocViews GeneExpression, Preprocessing, Software
Version 1.54.0
In Bioconductor since BioC 2.4 (R-2.9) (13.5 years)
License LGPL (>= 2)
Depends methods, Biobase, limma, affy
Imports
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 qpcrNorm_1.54.0.tar.gz
Windows Binary qpcrNorm_1.54.0.zip
macOS Binary (x86_64) qpcrNorm_1.54.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/qpcrNorm
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/qpcrNorm
Package Short Url https://bioconductor.org/packages/qpcrNorm/
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: