To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("les")

In most cases, you don't need to download the package archive at all.

les

This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see les.

Identifying Differential Effects in Tiling Microarray Data

Bioconductor version: 2.10

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>

Citation (from within R, enter citation("les")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 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 1.6.0
In Bioconductor since BioC 2.7 (R-2.12) (5.5 years)
License GPL-3
Depends R (>= 2.13.2), methods, graphics, fdrtool
Imports boot, gplots, RColorBrewer
LinkingTo
Suggests Biobase, limma
SystemRequirements
Enhances multicore
URL http://julian-gehring.github.com/les/
Depends On Me
Imports Me GSRI
Suggests Me
Build Report

Package Archives

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

Package Source les_1.6.0.tar.gz
Windows Binary les_1.6.0.zip
Mac OS X 10.6 (Snow Leopard)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/les/tree/release-2.10
Package Short Url http://bioconductor.org/packages/les/
Package Downloads Report Download Stats

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