To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("macat")

In most cases, you don't need to download the package archive at all.

macat

 

MicroArray Chromosome Analysis Tool

Bioconductor version: Release (3.1)

This library contains functions to investigate links between differential gene expression and the chromosomal localization of the genes. MACAT is motivated by the common observation of phenomena involving large chromosomal regions in tumor cells. MACAT is the implementation of a statistical approach for identifying significantly differentially expressed chromosome regions. The functions have been tested on a publicly available data set about acute lymphoblastic leukemia (Yeoh et al.Cancer Cell 2002), which is provided in the library 'stjudem'.

Author: Benjamin Georgi, Matthias Heinig, Stefan Roepcke, Sebastian Schmeier, Joern Toedling

Maintainer: Joern Toedling <jtoedling at yahoo.de>

Citation (from within R, enter citation("macat")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("macat")

Documentation

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

browseVignettes("macat")

 

PDF R Script MicroArray Chromosome Analysis Tool
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software, Visualization
Version 1.42.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 10.5 years)
License Artistic-2.0
Depends Biobase, annotate
Imports
LinkingTo
Suggests hgu95av2.db, stjudem
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source macat_1.42.0.tar.gz
Windows Binary macat_1.42.0.zip
Mac OS X 10.6 (Snow Leopard) macat_1.42.0.tgz
Mac OS X 10.9 (Mavericks) macat_1.42.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/macat/tree/release-3.1
Package Short Url http://bioconductor.org/packages/macat/
Package Downloads Report Download Stats

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