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

les

Identifying Differential Effects in Tiling Microarray Data

Bioconductor version: 2.13

The 'les' package estimates Loci of Enhanced Significance (LES) in tiling microarray data. These are regions of regulation such as found in differential transcription, CHiP-chip, or DNA modification analysis. The package provides a universal framework suitable for identifying differential effects in tiling microarray data sets, and is independent of the underlying statistics at the level of single probes.

Author: Julian Gehring, Clemens Kreutz, Jens Timmer

Maintainer: Julian Gehring <julian.gehring at embl.de>

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("les")

 

PDF	R Script	Introduction to the les package: Identifying Differential Effects in Tiling Microarray Data with the Loci of Enhanced Significance Framework
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	Bioinformatics, ChIPchip, DNAMethylation, DifferentialExpression, Microarray, Software, Transcription
Version	1.12.0
In Bioconductor since	BioC 2.7 (R-2.12)
License	GPL-3
Depends	R (>= 2.13.2), methods, graphics, fdrtool
Imports	boot, gplots, RColorBrewer
Suggests	Biobase, limma
System Requirements
URL	http://julian-gehring.github.com/les/
Depends On Me
Imports Me	GSRI
Suggests Me

Package Archives

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

Package Source	les_1.12.0.tar.gz
Windows Binary	les_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	les_1.12.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats