qpcrNorm
Data-driven normalization strategies for high-throughput qPCR data.
Bioconductor version: Release (3.17)
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("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 | R Script | |
Reference Manual |
Details
biocViews | GeneExpression, Preprocessing, Software |
Version | 1.58.0 |
In Bioconductor since | BioC 2.4 (R-2.9) (14.5 years) |
License | LGPL (>= 2) |
Depends | methods, Biobase, limma, affy |
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See More
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Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | qpcrNorm_1.58.0.tar.gz |
Windows Binary | qpcrNorm_1.58.0.zip |
macOS Binary (x86_64) | qpcrNorm_1.58.0.tgz |
macOS Binary (arm64) | qpcrNorm_1.58.0.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 |