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 (2.14)

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 1.22.0
In Bioconductor since BioC 2.4 (R-2.9)
License LGPL (>= 2)
Depends methods, Biobase, limma, affy
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me EasyqpcR

Package Archives

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

Package Source qpcrNorm_1.22.0.tar.gz
Windows Binary qpcrNorm_1.22.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) qpcrNorm_1.22.0.tgz
Mac OS X 10.9 (Mavericks) qpcrNorm_1.22.0.tgz
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