Color dimensional reduction plot by tree split

Returns a DimPlot colored based on whether the cells fall in clusters to the left or to the right of a node split in the cluster tree.

ColorDimSplit(
  object,
  node,
  left.color = "red",
  right.color = "blue",
  other.color = "grey50",
  ...
)

Arguments

object

Seurat object

node

Node in cluster tree on which to base the split

left.color

Color for the left side of the split

right.color

Color for the right side of the split

other.color

Color for all other cells

...

Arguments passed on to DimPlot

dims: Dimensions to plot, must be a two-length numeric vector specifying x- and y-dimensions
cells: Vector of cells to plot (default is all cells)
cols: Vector of colors, each color corresponds to an identity class. This may also be a single character or numeric value corresponding to a palette as specified by brewer.pal.info. By default, ggplot2 assigns colors. We also include a number of palettes from the pals package. See DiscretePalette for details.
pt.size: Adjust point size for plotting
reduction: Which dimensionality reduction to use. If not specified, first searches for umap, then tsne, then pca
group.by: Name of one or more metadata columns to group (color) cells by (for example, orig.ident); pass 'ident' to group by identity class
split.by: A factor in object metadata to split the plot by, pass 'ident' to split by cell identity'
shape.by: If NULL, all points are circles (default). You can specify any cell attribute (that can be pulled with FetchData) allowing for both different colors and different shapes on cells. Only applicable if raster = FALSE.
order: Specify the order of plotting for the idents. This can be useful for crowded plots if points of interest are being buried. Provide either a full list of valid idents or a subset to be plotted last (on top)
shuffle: Whether to randomly shuffle the order of points. This can be useful for crowded plots if points of interest are being buried. (default is FALSE)
seed: Sets the seed if randomly shuffling the order of points.
label: Whether to label the clusters
label.size: Sets size of labels
label.color: Sets the color of the label text
label.box: Whether to put a box around the label text (geom_text vs geom_label)
alpha: Alpha value for plotting (default is 1)
repel: Repel labels
cells.highlight: A list of character or numeric vectors of cells to highlight. If only one group of cells desired, can simply pass a vector instead of a list. If set, colors selected cells to the color(s) in cols.highlight and other cells black (white if dark.theme = TRUE); will also resize to the size(s) passed to sizes.highlight
cols.highlight: A vector of colors to highlight the cells as; will repeat to the length groups in cells.highlight
sizes.highlight: Size of highlighted cells; will repeat to the length groups in cells.highlight. If sizes.highlight = TRUE size of all points will be this value.
na.value: Color value for NA points when using custom scale
ncol: Number of columns for display when combining plots
combine: Combine plots into a single patchworked ggplot object. If FALSE, return a list of ggplot objects
raster: Convert points to raster format, default is NULL which automatically rasterizes if plotting more than 100,000 cells
raster.dpi: Pixel resolution for rasterized plots, passed to geom_scattermore(). Default is c(512, 512).

Value

Returns a DimPlot

Examples

if (FALSE) {
if (requireNamespace("ape", quietly = TRUE)) {
  data("pbmc_small")
  pbmc_small <- BuildClusterTree(object = pbmc_small, verbose = FALSE)
  PlotClusterTree(pbmc_small)
  ColorDimSplit(pbmc_small, node = 5)
}
}

Color dimensional reduction plot by tree split

Arguments

Value

See also

Examples