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qpcrNorm

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


Bioconductor version: Release (3.18)

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 (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("qpcrNorm")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("qpcrNorm")
qPCR Normalization Example PDF R Script
Reference Manual PDF

Details

biocViews GeneExpression, Preprocessing, Software
Version 1.60.0
In Bioconductor since BioC 2.4 (R-2.9) (15 years)
License LGPL (>= 2)
Depends methods, Biobase, limma, affy
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Package Archives

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

Source Package qpcrNorm_1.60.0.tar.gz
Windows Binary qpcrNorm_1.60.0.zip
macOS Binary (x86_64) qpcrNorm_1.60.0.tgz
macOS Binary (arm64) qpcrNorm_1.60.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/qpcrNorm
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/qpcrNorm
Bioc Package Browser https://code.bioconductor.org/browse/qpcrNorm/
Package Short Url https://bioconductor.org/packages/qpcrNorm/
Package Downloads Report Download Stats