compensationRegions: Classify two Binding Profiles - Compensation
In SimBindProfiles: Similar Binding Profiles

Description Usage Arguments Details Value Author(s) See Also Examples

This function is used to classify three Binding Profiles into regions which are bound in data set one and two but not three.

1 2	compensationRegions(xSet, sgrset = c(1, 2, 3), bound.cutoff, diff.cutoff, probes, probe.max.spacing, writeBedFile = TRUE)

`xSet`	object of class ExpressionSet
`sgrset`	vector of lenght 3; specifying which data sets to compare from the ExpressionSet
`bound.cutoff`	numeric; threshold above probes are considered “bound”
`diff.cutoff`	numeric; difference threshold to determine if objects uniquely bound
`probes`	integer; minimum number of probes in a valid region
`probe.max.spacing`	integer; maximum number of base pairs in a gap before splitting a region into 2 regions
`writeBedFile`	logical; should bed file be written

Select probes with a signal above the bound.cutoff in data set 1 and 2 and below in set 3, and for which the average signal of set 1 and set2 is above the diff.cutoff compared to set 3. These probes are then filtered into regions using the probes and probe.max.spacing details. The score is calculated as mean (probes in region average(set 1 and set 2) minus set 3). Optional bed file formated result files are written using the choosen options in the file names.

data.frame with the following columns:

`name`	name(s) of data set to which region belongs
`class.group`	class group, in this case only 1
`chr`	chromsome
`start`	start position of region
`end`	end position of region
`scrore`	score of region
`nProbes`	number of probes in region

Bettina Fischer, Robert Stojnic

pairwiseRegions, threewayRegions, increasedBindingRegions

  dataPath <- system.file("data",package="SimBindProfiles")
  load(file.path(dataPath,"SGR.RData"))
  transcompABC <- compensationRegions(SGR, sgrset=c(1,2,3), bound.cutoff=1.86, 
                  diff.cutoff=1.4, probes=10, probe.max.spacing=200)