macat

DOI: 10.18129/B9.bioc.macat  

MicroArray Chromosome Analysis Tool

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("macat")

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("macat")

 

PDF	R Script	MicroArray Chromosome Analysis Tool
PDF		Reference Manual

Details

biocViews	DifferentialExpression, Microarray, Software, Visualization
Version	1.72.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 18 years)
License	Artistic-2.0
Depends	Biobase, annotate
Imports
LinkingTo
Suggests	hgu95av2.db, stjudem
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	macat_1.72.0.tar.gz
Windows Binary	macat_1.72.0.zip
macOS Binary (x86_64)	macat_1.72.0.tgz
macOS Binary (arm64)	macat_1.72.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/macat
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/macat
Bioc Package Browser	https://code.bioconductor.org/browse/macat/
Package Short Url	https://bioconductor.org/packages/macat/
Package Downloads Report	Download Stats