Cell-cell scatter plot

Source: R/visualization.R

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

CellScatter(
  object,
  cell1,
  cell2,
  features = NULL,
  highlight = NULL,
  cols = NULL,
  pt.size = 1,
  smooth = FALSE,
  raster = NULL,
  raster.dpi = c(512, 512)
)

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
raster.dpi

Pixel resolution for rasterized plots, passed to geom_scattermore(). Default is c(512, 512).

Value

A ggplot object

Examples

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