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Will be coloured according to cluster idents with a scales::hue_pal() colouring scheme. You need to have an already analysed Seurat object to be able to run the function.

Usage

TS_plot_3D(
  seurat_object = get(default_seurat_object),
  dims = 1:20,
  group.by = NULL,
  colors = NULL,
  reduction = "umap"
)

Arguments

seurat_object

The Seurat object you want to analyse. Defaults to 'default_seurat_object'

dims

What Principal Components to use for calculating the UMAP.

group.by

Variable to group cells by. Default is Seurat::Idents(), alternatives are any available metadata in the object.

colors

A vector of colors to use for the group.by parameter. Default is hue_pal()(length of unique values in your group.by parameter)

reduction

What reduction to use, defaults to "umap". Alternatively, you can use "harmony"