plot_interaction_communities {mistyR} | R Documentation |
Identify and plot a graph of marker interaction communities.
plot_interaction_communities(misty.results, view, cutoff = 1)
misty.results |
a results list generated by
|
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. |
The communities are identified using the Louvain algorithm. Communities can be extracted only from views that have the same predictor and target markers.
The misty.results
list (invisibly).
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()
all.samples <- list.dirs("results", recursive = FALSE) misty.results <- collect_results(all.samples) misty.results %>% plot_interaction_communities("intra") %>% plot_interaction_communities("para.10") misty.results %>% plot_interaction_communities("para.10", cutoff = 0.5)