macat
This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.
This package is for version 3.18 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see macat.
MicroArray Chromosome Analysis Tool
Bioconductor version: 3.18
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("macat")):
Installation
To install this package, start R (version "4.3") 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")| MicroArray Chromosome Analysis Tool | R Script | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, Microarray, Software, Visualization |
| Version | 1.76.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 19 years) |
| License | Artistic-2.0 |
| Depends | Biobase, annotate |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | hgu95av2.db, stjudem |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | macat_1.76.0.tar.gz |
| Windows Binary | macat_1.76.0.zip |
| macOS Binary (x86_64) | macat_1.76.0.tgz |
| macOS Binary (arm64) | macat_1.76.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/macat |
| Source Repository (Developer Access) | git clone [email protected]:packages/macat |
| Package Short Url | https://bioconductor.org/packages/macat/ |
| Package Downloads Report | Download Stats |