qpcrNorm

This is the development version of qpcrNorm; for the stable release version, see qpcrNorm.

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

Bioconductor version: Development (3.21)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	GeneExpression, Preprocessing, Software
Version	1.65.0
In Bioconductor since	BioC 2.4 (R-2.9) (15.5 years)
License	LGPL (>= 2)
Depends	methods, Biobase, limma, affy
Imports
System Requirements
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Build Report	Build Report

Package Archives

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

Source Package	qpcrNorm_1.65.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
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