maCorrPlot
Visualize artificial correlation in microarray data
Bioconductor version: Release (3.17)
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 "4.3") 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 | 1.70.0 |
| In Bioconductor since | BioC 1.8 (R-2.3) (17.5 years) |
| License | GPL (>= 2) |
| Depends | lattice |
| Imports | graphics, grDevices, lattice, stats |
| Linking To | |
| Suggests | |
| System Requirements | |
| Enhances | |
| URL | http://www.pubmedcentral.gov/articlerender.fcgi?tool=pubmed&pubmedid=15799785 |
See More
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | maCorrPlot_1.70.0.tar.gz |
| Windows Binary | maCorrPlot_1.70.0.zip |
| macOS Binary (x86_64) | maCorrPlot_1.70.0.tgz |
| macOS Binary (arm64) | maCorrPlot_1.70.0.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 |