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les

Identifying Differential Effects in Tiling Microarray Data

Bioconductor version: 3.24 · Package version: 1.63.0

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.

Installation

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

BiocManager::install("les")

Details

MaintainerJulian Gehring <jg-bioc@gmx.com>
AuthorJulian Gehring, Clemens Kreutz, Jens Timmer
LicenseGPL-3
Downloads rank543
Source branchdevel
biocViewsChIPchip, DNAMethylation, DifferentialExpression, Microarray, Software, Transcription

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageles_1.63.0.tar.gz
Windows binary (x86_64)les_1.63.0.zip
macOS binary (arm64)les_1.63.0.tgz
macOS binary (x86_64)les_1.63.0.tgz
Dependencies

Depends: R (>= 2.13.2), methods, graphics, fdrtool

Imports: boot, gplots, RColorBrewer

Suggests: Biobase, limma

Enhances: parallel

Reverse dependencies

Imports Me (1): GSRI