qpcrNorm
Data-driven normalization strategies for high-throughput qPCR data.
Bioconductor version: Release (3.20)
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 "4.4") 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 | 1.64.0 |
| In Bioconductor since | BioC 2.4 (R-2.9) (15.5 years) |
| License | LGPL (>= 2) |
| Depends | methods, Biobase, limma, affy |
| Imports | |
| System Requirements | |
| URL |
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| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | qpcrNorm_1.64.0.tar.gz |
| Windows Binary (x86_64) | qpcrNorm_1.64.0.zip |
| macOS Binary (x86_64) | qpcrNorm_1.64.0.tgz |
| macOS Binary (arm64) | qpcrNorm_1.63.0.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 |