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
| Maintainer | Julian Gehring <jg-bioc@gmx.com> |
| Author | Julian Gehring, Clemens Kreutz, Jens Timmer |
| License | GPL-3 |
| Downloads rank | 543 |
| Source branch | devel |
| biocViews | ChIPchip, DNAMethylation, DifferentialExpression, Microarray, Software, Transcription |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | les_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
Enhances: parallel
Reverse dependencies
Imports Me (1): GSRI