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>

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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


biocViews Bioinformatics, ChIPchip, DNAMethylation, DifferentialExpression, Microarray, Software, Transcription
Depends R (>= 2.13.2), methods, graphics, fdrtool
Imports boot, gplots, RColorBrewer
Suggests Biobase, limma
System Requirements
License GPL-3
URL http://julian-gehring.github.com/les/
Depends On Me
Imports Me GSRI
Suggests Me
Version 1.6.0
Since Bioconductor 2.7 (R-2.12)

Package Downloads

Package Source les_1.6.0.tar.gz
Windows Binary les_1.6.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary les_1.6.0.tgz
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