Plot marker interaction communities

Identify and plot a graph of marker interaction communities.

Usage

plot_interaction_communities(misty.results, view, cutoff = 1)

Arguments

misty.results

a results list generated by collect_results().

view

abbreviated name of the view.

cutoff

importance threshold. Importances below this value will be colored white in the heatmap and considered as not relevant.

Value

The misty.results list (invisibly).

Details

The communities are identified using the Louvain algorithm. Communities can be extracted only from views that have the same predictor and target markers.

See also

collect_results() to generate a results list from raw results.

Other plotting functions: plot_contrast_heatmap(), plot_contrast_results(), plot_improvement_stats(), plot_interaction_heatmap(), plot_view_contributions()

Examples

all.samples <- list.dirs("results", recursive = FALSE)

misty.results <- collect_results(all.samples)
#> 
#> Collecting improvements
#> 
#> Collecting contributions
#> 
#> Collecting importances
#> 
#> Aggregating

misty.results %>%
  plot_interaction_communities("intra") %>%
  plot_interaction_communities("para.10")



misty.results %>%
  plot_interaction_communities("para.10", cutoff = 0.5)