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Bioconductor - les (development version)

les

This is the development version of les; for the stable release version, see les.

Identifying Differential Effects in Tiling Microarray Data

Bioconductor version: Development (3.22)

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 <jg-bioc at gmx.com>

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

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("les")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("les")
Introduction to the les package: Identifying Differential Effects in Tiling Microarray Data with the Loci of Enhanced Significance Framework PDF R Script Reference Manual PDF NEWS Text LICENSE Text Details biocViews ChIPchip, DNAMethylation, DifferentialExpression, Microarray, Software, Transcription Version 1.59.0 In Bioconductor since BioC 2.7 (R-2.12) (14.5 years) License GPL-3 Depends R (>= 2.13.2), methods, graphics, fdrtool Imports boot, gplots, RColorBrewer System Requirements URL See More Package Archives

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

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