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

    sset <- sesameDataGet('EPIC.1.LNCaP')$sset
    ssets.normal <- sesameDataGet('EPIC.5.normal')
    seg <- cnSegmentation(sset, ssets.normal)

[Package sesame version 1.6.0 Index]