macat

MicroArray Chromosome Analysis Tool

Bioconductor version: 2.9

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 <j.toedling at imb-mainz.de>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("macat")

To cite this package in a publication, start R and enter:

    citation("macat")

Documentation

PDF		chrom6T.pdf
PDF		chrom6TkNN.pdf
PDF		evalkNN6.pdf
PDF	R Script	MicroArray Chromosome Analysis Tool
PDF		Slidingchrom6s3.pdf
PDF		Reference Manual

Details

biocViews	Microarray, DifferentialExpression, Visualization
Depends	Biobase, annotate
Imports
Suggests	hgu95av2.db, stjudem
System Requirements
License	Artistic-2.0
URL
Depends On Me
Imports Me
Suggests Me
Version	1.28.0
Since	Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source	macat_1.28.0.tar.gz
Windows Binary	macat_1.28.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	macat_1.28.0.tgz
Package Downloads Report	Download Stats

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