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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
|
Data-driven normalization strategies for high-throughput qPCR data.
Bioconductor version: 3.2
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")
| qPCR Normalization Example | ||
| Reference Manual |
Details
| biocViews | GeneExpression, Preprocessing, Software |
| Version | 1.28.0 |
| In Bioconductor since | BioC 2.4 (R-2.9) (7 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_1.28.0.tar.gz |
| Windows Binary | qpcrNorm_1.28.0.zip |
| Mac OS X 10.6 (Snow Leopard) | qpcrNorm_1.28.0.tgz |
| Mac OS X 10.9 (Mavericks) | qpcrNorm_1.28.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/qpcrNorm/tree/release-3.2 |
| Package Short Url | http://bioconductor.org/packages/qpcrNorm/ |
| Package Downloads Report | Download Stats |
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