plotClusterGraph: Plot cluster graph generated with makeClusterGraph.
In MetaNeighbor: Single cell replicability analysis

In this visualization, edges are colored in black when AUROC > 0.5 and orange when AUROC < 0.5, edge width scales linearly with AUROC. Edges are oriented from training cluster towards test cluster. A black bidirectional edge indicates that two clusters are reciprocal top matches. Node radius reflects cluster size (small: up to 10 cells, medium: up to 100 cells, large: all other clusters).

plotClusterGraph(
  graph,
  study_id = NULL,
  cell_type = NULL,
  size_factor = 1,
  label_cex = 0.2 * size_factor,
  legend_cex = 2,
  study_cols = NULL
)

`graph`	Graph in igraph format generated by makeClusterGraph.
`study_id`	Vector with study IDs provided to MetaNeighborUS to compute AUROCs stored in graph (used to compute cluster size). If NULL, all nodes have medium size.
`cell_type`	Vector with cell type labels provided to MetaNeighborUS to compute AUROCs stored in graph (used to compute cluster size). If NULL, all nodes have medium size.
`size_factor`	Numeric value controling the size of nodes and edges.
`label_cex`	Numeric value controling the size of cell type labels.
`legend_cex`	Numeric value controling the size of the legend.
`study_cols`	Named vector where values are RGB colors and names are unique study identifiers. If NULL, a default color palette is used.