findOutliers: Find peaks with extreme count values
In MMDiff: Statistical Testing for ChIP-Seq data sets

Description Usage Arguments Value Author(s) See Also Examples

findOutliers uses the function boxplot to determine outlier peaks with extreme high total counts in each sample.

1	findOutliers(DBA, range = 20, draw.on=TRUE)

`DBA`	DBA object, after running getPeakProfiles.
`range`	This parameter specifies what is classified as an outlier. Non-outliers extend to the most extreme data point which is no more than 'range' times the inter-quartile range from the box in boxplot. (In the function boxplot, range determines how far the plot whiskers extend out from the box.
`draw.on`	If TRUE, histograms and box plots are plotted for quality control.

DBA object, with additional list element Filter added to MD.

Gabriele Schweikert

getPeakProfiles, boxplot

data(Cfp1Profiles)
Cfp1 <- findOutliers(Cfp1Profiles, range=20)
Filter <- Cfp1$MD$Filter


Cfp1Strict <- findOutliers(Cfp1Profiles, range=10)
OutlierPeakIDs <- Cfp1Strict$MD$Filter$HighPeakIds