plotHeatmap: plotHeatmap()

In akdess/CaSpER: Identify large-scale CNV events from single cell or bulk RNA-Seq data

Description

Visualization of the genomewide gene expression signal plot at different smoothing scales

Usage

plotHeatmap(object, fileName, cnv.scale = 3, cluster_cols = F,
  cluster_rows = T, show_rownames = T, only_soi = T)

Arguments

object	casper object
fileName	fileName of the putput image
cnv.scale	expression.scale for the expression signal
cluster_cols	boolean values determining if columns should be clustered
cluster_rows	boolean values determining if rows should be clustered
show_rownames	boolean values determining if rownames should be plotted
only_soi	boolean values determining if only samples of interest without control samples should be plotted

akdess/CaSpER documentation built on April 8, 2021, 8:59 a.m.