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