maCorrPlot
Visualize artificial correlation in microarray data
Bioconductor version: Release (3.20)
Graphically displays correlation in microarray data that is due to insufficient normalization
Author: Alexander Ploner <Alexander.Ploner at ki.se>
Maintainer: Alexander Ploner <Alexander.Ploner at ki.se>
Citation (from within R, enter
citation("maCorrPlot")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("maCorrPlot")
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("maCorrPlot")
maCorrPlot Introduction | R Script | |
Reference Manual |
Details
biocViews | Microarray, Preprocessing, Software, Visualization |
Version | 1.76.0 |
In Bioconductor since | BioC 1.8 (R-2.3) (18.5 years) |
License | GPL (>= 2) |
Depends | lattice |
Imports | graphics, grDevices, lattice, stats |
System Requirements | |
URL | http://www.pubmedcentral.gov/articlerender.fcgi?tool=pubmed&pubmedid=15799785 |
See More
Suggests | |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | maCorrPlot_1.76.0.tar.gz |
Windows Binary (x86_64) | maCorrPlot_1.76.0.zip |
macOS Binary (x86_64) | maCorrPlot_1.76.0.tgz |
macOS Binary (arm64) | maCorrPlot_1.76.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/maCorrPlot |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/maCorrPlot |
Bioc Package Browser | https://code.bioconductor.org/browse/maCorrPlot/ |
Package Short Url | https://bioconductor.org/packages/maCorrPlot/ |
Package Downloads Report | Download Stats |