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")
chrom6T.pdf | ||
chrom6TkNN.pdf | ||
evalkNN6.pdf | ||
R Script | MicroArray Chromosome Analysis Tool | |
Slidingchrom6s3.pdf | ||
Reference Manual |
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 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 |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!