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maCorrPlot

This is the released version of maCorrPlot; for the devel version, see maCorrPlot.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Visualize artificial correlation in microarray data


Bioconductor version: Release (3.23)

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")):

Alexander Ploner. maCorrPlot: Visualize artificial correlation in microarray data. doi:10.18129/B9.bioc.maCorrPlot, R package version 1.82.0, https://bioconductor.org/packages/maCorrPlot.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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 PDF R Script
Reference ManualPDF

Details

biocViews Microarray, Preprocessing, Software, Visualization
Version1.82.0
In Bioconductor sinceBioC 1.8 (R-2.3) (20.5 years)
License GPL (>= 2)
Depends lattice
Imports graphics, grDevices, lattice, stats
System Requirements
URLhttp://www.pubmedcentral.gov/articlerender.fcgi?tool=pubmed&pubmedid=15799785
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package maCorrPlot_1.82.0.tar.gz
Windows Binary (x86_64) maCorrPlot_1.82.0.zip
macOS Binary (big-sur-x86_64) maCorrPlot_1.82.0.tgz
macOS Binary (sonoma-arm64) maCorrPlot_1.82.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/maCorrPlot
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/maCorrPlot
Package Short Url https://bioconductor.org/packages/maCorrPlot/
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