plotClusterGraph {MetaNeighbor} | R Documentation

## Plot cluster graph generated with makeClusterGraph.

### Description

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).

### Usage

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

### Arguments

`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.

[Package MetaNeighbor version 1.14.0 Index]