macat

MicroArray Chromosome Analysis Tool

Bioconductor version: 2.6

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 <joern.toedling at curie.fr>

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 1.22.0
Since Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source macat_1.22.0.tar.gz
Windows Binary macat_1.22.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary macat_1.22.0.tgz
Package Downloads Report Download Stats

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Fred Hutchinson Cancer Research Center