les

Identifying Differential Effects in Tiling Microarray Data

Bioconductor version: 2.8

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 fdm.uni-freiburg.de>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("les")

Documentation

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

Details

biocViews Microarray, Bioinformatics, DifferentialExpression, ChIPchip, DNAMethylation, Transcription
Depends R (>= 2.12.1), methods, graphics, fdrtool
Imports boot, gplots, RColorBrewer
Suggests Biobase, limma
System Requirements
License GPL-3
URL http://www.fdmold.uni-freiburg.de/~jgehring/
Depends On Me
Imports Me GSRI
Suggests Me
Version 1.2.0
Since Bioconductor 2.7 (R-2.12)

Package Downloads

Package Source les_1.2.0.tar.gz
Windows Binary les_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary les_1.2.0.tgz
Package Downloads Report Download Stats

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