Cluster Highlight Plot

Create Plot with cluster of interest highlighted

Cluster_Highlight_Plot(
  seurat_object,
  cluster_name,
  highlight_color = NULL,
  background_color = "lightgray",
  pt.size = NULL,
  aspect_ratio = NULL,
  figure_plot = FALSE,
  raster = NULL,
  raster.dpi = c(512, 512),
  label = FALSE,
  split.by = NULL,
  split_seurat = FALSE,
  split_title_size = 15,
  num_columns = NULL,
  reduction = NULL,
  ggplot_default_colors = FALSE,
  ...
)

Arguments

seurat_object

Seurat object name.

cluster_name

Name(s) (or number(s)) identity of cluster to be highlighted.

highlight_color

Color(s) to highlight cells. The default is NULL and plot will use scCustomize_Palette().

background_color

non-highlighted cell colors.

pt.size

point size for both highlighted cluster and background.

aspect_ratio

Control the aspect ratio (y:x axes ratio length). Must be numeric value; Default is NULL.

figure_plot

logical. Whether to remove the axes and plot with legend on left of plot denoting axes labels. (Default is FALSE). Requires split_seurat = TRUE.

raster

Convert points to raster format. Default is NULL which will rasterize by default if greater than 200,000 cells.

raster.dpi

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

label

Whether to label the highlighted cluster(s). Default is FALSE.

split.by

Feature to split plots by (i.e. "orig.ident").

split_seurat

logical. Whether or not to display split plots like Seurat (shared y axis) or as individual plots in layout. Default is FALSE.

split_title_size

size for plot title labels when using split.by.

num_columns

Number of columns in plot layout. Only valid if split.by != NULL.

reduction

Dimensionality Reduction to use (if NULL then defaults to Object default).

ggplot_default_colors

logical. If colors_use = NULL, Whether or not to return plot using default ggplot2 "hue" palette instead of default "polychrome" or "varibow" palettes.

...

Extra parameters passed to DimPlot.

Value

A ggplot object

Examples

Cluster_Highlight_Plot(seurat_object = pbmc_small, cluster_name = "1", highlight_color = "gold",
background_color = "lightgray",  pt.size = 2)