Package: les
Type: Package
Title: Identifying Differential Effects in Tiling Microarray Data
Version: 1.63.0
Author: Julian Gehring, Clemens Kreutz, Jens Timmer
Maintainer: Julian Gehring <jg-bioc@gmx.com>
Imports: boot, gplots, RColorBrewer
Depends: R (>= 2.13.2), methods, graphics, fdrtool
Suggests: Biobase, limma
Enhances: parallel
Description: 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.
License: GPL-3
LazyLoad: yes
biocViews: Microarray, DifferentialExpression, ChIPchip,
        DNAMethylation, Transcription
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:34:50 UTC
RemoteUrl: https://github.com/bioc/les
RemoteRef: HEAD
RemoteSha: 6a07807bd6d408a55473c5dd66ce496b985176c0
NeedsCompilation: no
Packaged: 2026-06-23 06:32:21 UTC; root