Constructs an object of class 'Les' and stores experimental tiling microarray data. This is the initial step for all further analysis with the 'les' package.
The 'chi2' method can be used to optimize the window size for defined regions of interest. It computes chi^2(w) for window sizes w based on the estimates of Lambda and the false-discovery rate.
Exports the results into files for interaction with other software. Estimated regions can be exported in 'bed' and 'gff' format, Lambda in 'wig' format.
les-package
(Package: 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.