cnSegmentation {sesame}R Documentation

Perform copy number segmentation

Description

Perform copy number segmentation using the signals in the signal set. The function takes a SigSet for the target sample and a set of normal SigSet for the normal samples. An optional arguments specifies the version of genome build that the inference will operate on. The function outputs an object of class CNSegment with signals for the segments ( seg.signals), the bin coordinates ( bin.coords) and bin signals (bin.signals).

Usage

cnSegmentation(sset, ssets.normal, refversion = c("hg19", "hg38"))

Arguments

sset

SigSet

ssets.normal

SigSet for normalization

refversion

hg19 or hg38

Value

an object of CNSegment

Examples


sesameDataCache("EPIC") # in case not done yet
sset <- sesameDataGet('EPIC.1.LNCaP')$sset
ssets.normal <- sesameDataGet('EPIC.5.normal')
seg <- cnSegmentation(sset, ssets.normal)


[Package sesame version 1.10.5 Index]