Plot model performance across datasets — plot_model

Visualizes the number of drugs achieving different correlation thresholds across bulk, pseudo-bulk, and single-cell datasets.

Usage

plot_model_performance(
  performance_list,
  threshold_range = NULL,
  base_size = 20,
  highlight_threshold = 0.3,
  tooltip = TRUE
)

performance_list: Named list of model performance objects (from train_perception_models).
threshold_range: Numeric vector. Correlation thresholds to evaluate. Default = NULL (auto: from 0.1 up to at least 0.6, extended to the highest observed correlation so the curve always reaches 0).
base_size: Numeric. Base font size. Default = 20.
highlight_threshold: Numeric. Threshold to highlight with vertical line. Default = 0.3.
tooltip: Logical. If TRUE (default) and ggiraph is installed, points get hover tooltips (dataset, threshold, drug count).

A ggplot object.

if (FALSE) { # \dontrun{
  models <- train_perception_models(c("abemaciclib", "erlotinib"), ...)
  plot_model_performance(models)
} # }