barcode_binary_heatmap: Barcode Binary Heatmap

In d93espinoza/barcodetrackR: Functions for Analyzing Cellular Barcoding Data

Description

Creates a binary heatmap showing the absence or presence of new clones in samples ordered from L to R in the SummarizedExperiment.

Usage

barcode_binary_heatmap(
  your_SE,
  plot_labels = NULL,
  threshold = 0,
  your_title = NULL,
  label_size = 12,
  return_table = FALSE
)

Arguments

your_SE	A Summarized Experiment object.
plot_labels	Vector of x axis labels. Defaults to colnames(your_SE).
threshold	Clones with a proportion below this threshold will be set to 0.
your_title	The title for the plot.
label_size	The size of the column labels.
return_table	Logical. Whether or not to return table of barcode sequences with their presence or absence in each sample indicated as a 1 or 0 resepctively in the value column column.

Value

Displays a binary heat map in the current plot window. Or if return_table is set to TRUE, returns a dataframe indicating the presence or absence of each barcode in each sample.

Examples

data(wu_subset)
barcode_binary_heatmap(your_SE = wu_subset[, 1:4])

d93espinoza/barcodetrackR documentation built on April 28, 2021, 1:58 p.m.