Calls/drops single-locus outliers along the genome that have a signal that differ significantly from the neighboring loci.
# S3 method for default
callSegmentationOutliers(y, chromosome=0, x=NULL, method="DNAcopy::smooth.CNA", ...,
verbose=FALSE)
# S3 method for data.frame
callSegmentationOutliers(y, ...)
# S3 method for default
dropSegmentationOutliers(y, ...)
# S3 method for data.frame
dropSegmentationOutliers(y, ...)
callSegmentationOutliers()
returns a logical
vector
of length J.
dropSegmentationOutliers()
returns an object of the same type
as argument y
, where the signals for which outliers were called
have been set to NA
.
(Optional) An integer
scalar
(or a vector
of length J contain a unique value).
Only used for annotation purposes.
Optional numeric
vector
of J genomic locations.
If NULL
, index locations 1:J
are used.
A character
string specifying the method
used for calling outliers.
Additional arguments passed to internal outlier detection method.
See Verbose
.
Signals as well as genomic positions may contain missing
values, i.e. NA
s or NaN
s. By definition, these cannot
be outliers.
Henrik Bengtsson
Internally smooth.CNA
is utilized to identify
the outliers.