To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("qpcrNorm")

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

qpcrNorm

DOI: 10.18129/B9.bioc.qpcrNorm

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

Bioconductor version: Release (3.5)

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:

## try http:// if https:// URLs are not supported
source("https://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 1.34.0
In Bioconductor since BioC 2.4 (R-2.9) (8.5 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.

Source Package qpcrNorm_1.34.0.tar.gz
Windows Binary qpcrNorm_1.34.0.zip
Mac OS X 10.11 (El Capitan) qpcrNorm_1.34.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/qpcrNorm
Package Short Url http://bioconductor.org/packages/qpcrNorm/
Package Downloads Report Download Stats

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