plotClusters: Plots a scatter plots with samples clustered

In macintyrelab/CNpare: Comparing tumour copy number profiles

Plots a scatter plots with samples clustered

Description

This function draws a scatter plot with samples grouped based of signature exposures. Only the closest cluster to the input sample is colored.

Usage

plotClusters(matrix, samples)

Arguments

matrix	matrix variables in rows and samples in columns
samples	vector with samples in the closest cluster of the input sample

Value

A plot with samples clustered by similarity in signature exposition

Examples

matrix<-cbind(s1=runif(10, min=0, max=1), s2=runif(10, min=0, max=1),
    s3=runif(10, min=0, max=1))
rownames(matrix)<-paste0("c", seq(1,10))
cell<-matrix(runif(n = 3, min = 0, max = 1))
samples<-getClusterSamples(t(matrix), cell, include=FALSE)
plotClusters(t(matrix), samples)

macintyrelab/CNpare documentation built on April 15, 2022, 4:46 a.m.