les: Identifying Differential Effects in Tiling Microarray Data

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.

AuthorJulian Gehring, Clemens Kreutz, Jens Timmer
Date of publicationNone
MaintainerJulian Gehring <jg-bioc@gmx.com>
LicenseGPL-3
Version1.24.0

View on Bioconductor

Files in this package

les/DESCRIPTION
les/LICENSE
les/NAMESPACE
les/NEWS
les/R
les/R/allClasses.R les/R/allExportedFunctions.R les/R/allGeneric.R les/R/allInternal.R les/R/allMethods.R
les/build
les/build/vignette.rds
les/data
les/data/spikeInData.RData
les/data/spikeInStat.RData
les/inst
les/inst/doc
les/inst/doc/les.R
les/inst/doc/les.Rnw
les/inst/doc/les.pdf
les/man
les/man/Les-class.Rd les/man/Les.Rd les/man/chi2.Rd les/man/ci.Rd les/man/estimate.Rd les/man/export.Rd les/man/les-internal.Rd les/man/les-package.Rd les/man/plot.Rd les/man/regions.Rd les/man/spikeInData.Rd les/man/spikeInStat.Rd les/man/threshold.Rd les/man/weighting.Rd
les/vignettes
les/vignettes/les.Rnw
les/vignettes/ref_les.bib

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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