Last data update: 2014.03.03
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les
Package: les
Type: Package
Title: Identifying Differential Effects in Tiling Microarray Data
Version: 1.22.0
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
NeedsCompilation: no
Packaged: 2016-05-04 03:44:29 UTC; biocbuild
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'les' ...
** R
** data
** inst
** preparing package for lazy loading
Creating a generic function for 'plot' from package 'graphics' in package 'les'
Creating a generic function for 'summary' from package 'base' in package 'les'
** help
*** installing help indices
converting help for package 'les'
finding HTML links ... done
Les-class html
Les html
chi2 html
ci html
estimate html
export html
les-internal html
les-package html
plot html
regions html
spikeInData html
spikeInStat html
threshold html
weighting html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (les)
Making 'packages.html' ... done
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