plot_interaction_communities: Plot marker interaction communities

In saezlab/mistyR: Multiview Intercellular SpaTial modeling framework

Plot marker interaction communities

Description

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.

Details

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

Value

The misty.results list (invisibly).

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)

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

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

saezlab/mistyR documentation built on March 25, 2024, 4:12 p.m.