Heatmap of PSI values (events x cells, DoHeatmap-style)

Draws a tile plot with splice events on the y-axis and cells on the x-axis. Events are clustered by PSI profile. When group_by is supplied, cells are ordered by group and a colored bar is drawn at the top of the heatmap showing each cell's group (Seurat DoHeatmap style). Both legends – continuous PSI and discrete groups – appear on the right.

Usage

PlotHeatmap(
  object,
  events = NULL,
  cells = NULL,
  group_by = NULL,
  max_cells = 500L,
  max_events = 50L,
  na_colour = "grey90",
  title = NULL,
  ...
)

# S4 method for class 'MatisseObject'
PlotHeatmap(
  object,
  events = NULL,
  cells = NULL,
  group_by = NULL,
  max_cells = 500L,
  max_events = 50L,
  na_colour = "grey90",
  title = NULL,
  ...
)

Arguments

object: A MatisseObject with a "psi" assay.
events: Character vector of event IDs to include. Default: NULL (top-variance events up to max_events).
cells: Character vector of cell barcodes to include. Default: NULL (random sample up to max_cells).
group_by: Character. Column in Seurat::meta.data used to order cells and draw the colored top bar. Default: NULL.
max_cells: Integer. Downsample to this many cells before plotting. Default: 500.
max_events: Integer. Cap on events to plot. When the candidate set exceeds this, the top-variance events are selected automatically. Default: 50, which keeps event-name labels readable; raise it for a denser heatmap (and expect smaller / overlapping y-axis labels).
na_colour: Character. Colour for NA entries. Default: "grey90".
title: Character. Plot title. Default: "PSI Heatmap".
...: Ignored; included for S4 generic compatibility.

Value

A ggplot object.