CNVDetectionResult-class: Class "CNVDetectionResult"

Description

S4 class for storing results of a CNV detection method.

The following slots are defined for CNVDetectionResult objects:

gr: The segments in which the reads are counted. GRanges object.
normalizedData: The normalized data.
localAssessments: The data to which the segmentation algorithm is applied. These can be z-Scores, ratios, log-ratios or I/NI calls.
individualCall: The CNV call that the method provides for a specific sample
iniCall: The CNV call that the method provides a specific segment.
posteriorProbs: The posterior probabilities for different copy numbers.
cnvs: The detected CNVs.
cnvr: The detected CNV regions.
segmentation: The segmentation of the reference sequence (sample-wise).
integerCopyNumber: The most probable integer copy number.
sampleNames: The sample names.
params: The parameters with which the method was run.

showClass("CNVDetectionResult")

Run the code above in your browser using DataLab