plot_pareto_markers: Plot best markers in the (fold change of detection, AUROC)...
In gillislab/MetaMarkers: Extract robust markers from multiple datasets

This visualization displays markers meeting minimal threshold conditions in the (fold change of detection, AUROC) space. The best markers (Pareto front) are highlighted and labeled.

plot_pareto_markers(
  meta_markers,
  cell_type_name,
  min_recurrence = 1,
  min_auroc = 0.5,
  min_fc = 0,
  fc_threshold = 3,
  auroc_threshold = 0.8
)

`meta_markers`	Meta-marker table obtained with `make_meta_marker`.
`cell_type_name`	Name of cell type to be plotted (must be contained in meta-markers).
`min_recurrence`	Recurrence threshold for a marker to be plotted (# of datasets where marker was DE)
`min_auroc`	AUROC threshold for a marker to be plotted.
`min_fc`	Fold change of detection threshold for a marker to be plotted.
`fc_threshold`	Threshold at which to draw a dashed line on the AUROC axis (set to NULL to skip).
`auroc_threshold`	Threshold at which to draw a dashed line on the fold change axis (set to NULL to skip).