CellScatter: Cell-cell scatter plot

In ibseq/scs-analysis: Tools for Single Cell Genomics

Description

Creates a plot of scatter plot of features across two single cells. Pearson correlation between the two cells is displayed above the plot.

Usage

CellScatter(
  object,
  cell1,
  cell2,
  features = NULL,
  highlight = NULL,
  cols = NULL,
  pt.size = 1,
  smooth = FALSE,
  raster = NULL
)

Arguments

object	Seurat object
cell1	Cell 1 name
cell2	Cell 2 name
features	Features to plot (default, all features)
highlight	Features to highlight
cols	Colors to use for identity class plotting.
pt.size	Size of the points on the plot
smooth	Smooth the graph (similar to smoothScatter)
raster	Convert points to raster format, default is NULL which will automatically use raster if the number of points plotted is greater than 100,000

Value

A ggplot object

Examples

data("pbmc_small")
CellScatter(object = pbmc_small, cell1 = 'ATAGGAGAAACAGA', cell2 = 'CATCAGGATGCACA')

ibseq/scs-analysis documentation built on Feb. 27, 2021, 12:35 a.m.