plot_marker_scores: Plot markers scores in UMAP space (one facet per marker set).
In gillislab/MetaMarkers: Extract robust markers from multiple datasets

Plot markers scores in UMAP space (one facet per marker set).

plot_marker_scores(
  scores,
  umap_coordinates,
  normalize_scores = FALSE,
  point_size = 1,
  rasterize_umap = FALSE
)

`scores`	A marker score matrix as returned by score_cells or compute_marker_enrichment.
`umap_coordinates`	A (cell x 2) data.frame containing UMAP coordinates, where the ordering of cells is the same as in the score matrix
`normalize_scores`	Boolean. If TRUE, marker scores are renormalized between 0 and 1 for all marker sets to obtain similar color ranges across facets.
`point_size`	Numeric value indicating the dot size.
`rasterize_umap`	Boolean. If TRUE, the UMAP part of the figure is rasterized. This is particularly useful for large datasets.