plot_QC_out: Plot QC_output

In QuantumClone: Clustering Mutations using High Throughput Sequencing (HTS) Data

Description

This function was implemented to re-plot easily the diagrams of clonality for changes/enhancement. Returns a ggplot object Uses ggplot2 package

Usage

plot_QC_out(QClone_Output, Sample_names = NULL, simulated = FALSE,
  sample_selected = 1:2)

Arguments

QClone_Output	Output from QuantumClone algorithm
Sample_names	: character vector of the names of each sample (in the same order as the data)
simulated	Was the data generated by QuantumCat?
sample_selected	: number of the sample to be considered for plot (can be 1 or 2 samples)

Examples

require(ggplot2)
message("Using preclustered data:")
QC_out<-QuantumClone::QC_output
plot_QC_out(QC_out,Sample_names = c("Diagnosis","Relapse"))

QuantumClone documentation built on May 2, 2019, 3:03 a.m.