Intuitive way of visualizing how gene expression changes across different identity classes (clusters). The size of the dot encodes the percentage of cells within a class, while the color encodes the AverageExpression level of 'expressing' cells (green is high).
DotPlot(object, genes.plot, cex.use = 2, cols.use = NULL,
thresh.col = 2.5, dot.min = 0.05, group.by = NULL, ...)
Seurat object
Input vector of genes
Scaling factor for the dots (scales all dot sizes)
Colors to use for plotting
The raw data value which corresponds to a red dot (lowest expression)
The fraction of cells at which to draw the smallest dot (default is 0.05)
Group (color) cells in different ways (for example, orig.ident)
additional parameters to pass to FetchData (for example, use.imputed, use.scaled, use.raw)
Only graphical output