Package: maCorrPlot 1.75.0

Alexander Ploner

maCorrPlot: Visualize artificial correlation in microarray data

Graphically displays correlation in microarray data that is due to insufficient normalization

Authors:Alexander Ploner <[email protected]>

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maCorrPlot/json (API)

# Install 'maCorrPlot' in R:
install.packages('maCorrPlot', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • datA.amp - Example data for package maCorrSample
  • datA.mas5 - Example data for package maCorrSample
  • datA.rma - Example data for package maCorrSample
  • datB.amp - Example data for package maCorrSample
  • datB.mas5 - Example data for package maCorrSample
  • datB.rma - Example data for package maCorrSample

On BioConductor:maCorrPlot-1.75.0(bioc 3.20)maCorrPlot-1.74.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

6 exports 0.82 score 1 dependencies

Last updated 2 months agofrom:72b8a8bc92

Exports:CIrhoCorrSampleCutCIpanel.corr.sampleplot.corr.sampleRandPairs

Dependencies:lattice

maCorrPlot Introduction

Rendered frommaCorrPlot.Rnwusingutils::Sweaveon Jun 18 2024.

Last update: 2013-11-01
Started: 2013-11-01

Readme and manuals

Help Manual

Help pageTopics
Sample correlations for random pairs of genesCorrSample RandPairs
Calculate confidence intervals for grouped valuesCIrho CutCI
Example data for package maCorrSampledatA.amp datA.mas5 datA.rma datB.amp datB.mas5 datB.rma oligodata
Plot correlation of random pairs of genespanel.corr.sample plot.corr.sample