qpcrNorm

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

Bioconductor version: 2.6

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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("qpcrNorm")

Documentation

PDF	R Script	qPCR Normalization Example
PDF		Reference Manual

Details

biocViews	Preprocessing, GeneExpression
Depends	methods, Biobase, limma, affy
Imports
Suggests
System Requirements
License	LGPL (>= 2)
URL
Depends On Me
Imports Me
Suggests Me
Version	1.6.0
Since	Bioconductor 2.4 (R-2.9)

Package Downloads

Package Source	qpcrNorm_1.6.0.tar.gz
Windows Binary	qpcrNorm_1.6.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	qpcrNorm_1.6.0.tgz
Package Downloads Report	Download Stats

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