les: Identifying Differential Effects in Tiling Microarray Data
Version 1.28.0

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.

Package details

AuthorJulian Gehring, Clemens Kreutz, Jens Timmer
Bioconductor views ChIPchip DNAMethylation DifferentialExpression Microarray Transcription
MaintainerJulian Gehring <[email protected]>
LicenseGPL-3
Version1.28.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("les")

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les documentation built on Nov. 17, 2017, 12:59 p.m.