CNAcluster: CNAcluster

In FeiQin92/FLCNV: Simultaneous CNV Detection And Subclone Clustering With Single Cell Sequencing Data

CNAcluster

Description

This function clusters CNAs into different states using a Gaussian Mixed Model based clustering strategy.

Usage

CNAcluster(Y, cp, L)

Arguments

Y	The numeric vector of the intensities of markers, which is the estimated mean vector in our study.
cp	The numeric vector of the position index for the identified change-points.
L	Repeat times in the EM algorithm, defaults to 100.

Value

The return is the clustered CNA segments with the start position and end position, length of the CNA and the copy number states (duplication or deletion). It also returns a vector of final candidates of change-points.

newcp	The final list of change-points.
h	The bandwidth used for the identification of change-points.
CNA.state	Copy number state for each CNA.
CNA.start	Start position of each CNA.
CNA.end	End position of each CNA.

FeiQin92/FLCNV documentation built on June 13, 2025, 3:30 a.m.