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les
This is the development version of les; for the stable release version, see les.
Identifying Differential Effects in Tiling Microarray Data
DOI: 10.18129/B9.bioc.les
Bioconductor version: Development (3.23)
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("les")):
Installation
To install this package, start R (version "4.6") 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")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.