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Visualize artificial correlation in microarray data

Bioconductor version: Release (3.18)

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")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

maCorrPlot Introduction PDF R Script
Reference Manual PDF


biocViews Microarray, Preprocessing, Software, Visualization
Version 1.72.0
In Bioconductor since BioC 1.8 (R-2.3) (18 years)
License GPL (>= 2)
Depends lattice
Imports graphics, grDevices, lattice, stats
System Requirements
URL http://www.pubmedcentral.gov/articlerender.fcgi?tool=pubmed&pubmedid=15799785
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Follow Installation instructions to use this package in your R session.

Source Package maCorrPlot_1.72.0.tar.gz
Windows Binary maCorrPlot_1.72.0.zip
macOS Binary (x86_64) maCorrPlot_1.72.0.tgz
macOS Binary (arm64) maCorrPlot_1.72.0.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/
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