plot_view_contributions: Plot view contributions per target

In saezlab/misty: Multiview Intercellular SpaTial modeling framework

Plot view contributions per target

Description

Generate a stacked barplot of the average view contribution fraction per target across all samples from the results.

Usage

plot_view_contributions(
  misty.results,
  trim = -Inf,
  trim.measure = c("gain.R2", "multi.R2", "intra.R2", "gain.RMSE", "multi.RMSE",
    "intra.RMSE")
)

Arguments

misty.results	a results list generated by collect_results().
trim	display targets with performance value above (if R2 or gain) or below (otherwise) this value only.
trim.measure	the measure used for trimming.

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_communities(), plot_interaction_heatmap()

Examples

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

collect_results(all.samples) %>% plot_view_contributions()

saezlab/misty documentation built on March 25, 2024, 4:11 p.m.