To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("qpcrNorm")

In most cases, you don't need to download the package archive at all.

qpcrNorm

 

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

Bioconductor version: Release (3.1)

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 and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("qpcrNorm")

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 1.26.0
In Bioconductor since BioC 2.4 (R-2.9) (6.5 years)
License LGPL (>= 2)
Depends methods, Biobase, limma, affy
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me EasyqpcR
Build Report  

Package Archives

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

Package Source qpcrNorm_1.26.0.tar.gz
Windows Binary qpcrNorm_1.26.0.zip
Mac OS X 10.6 (Snow Leopard) qpcrNorm_1.26.0.tgz
Mac OS X 10.9 (Mavericks) qpcrNorm_1.26.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/qpcrNorm/tree/release-3.1
Package Short Url http://bioconductor.org/packages/qpcrNorm/
Package Downloads Report Download Stats

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