Plot cross-drug prediction as a heatmap

Creates a heatmap showing cross-drug model performance (MCC), where models trained on one drug are evaluated on another.

plotCrossDrug(
  cross_test_performance_path = ".",
  drug_performance_path = ".",
  metadata_path = "."
)

Arguments

cross_test_performance_path

A cross-drug performance tibble (with drug, test_drug, and mcc columns), or a directory path containing cross_drug_perf.parquet.

drug_performance_path

A performance tibble (with drug_label, drug_or_class, and mcc columns), or a directory path containing all_perf.parquet.

metadata_path

Character. Path to a directory containing metadata.parquet.

Value

A ComplexHeatmap object.

Examples

cross_drug <- tibble::tibble(
  drug = c("AMP", "AMP", "CIP", "CIP", "NAL", "NAL"),
  test_drug = c("CIP", "NAL", "AMP", "NAL", "AMP", "CIP"),
  mcc = c(0.3, 0.2, 0.4, 0.25, 0.15, 0.35)
)
performance <- tibble::tibble(
  drug_label = "drug",
  drug_or_class = c("AMP", "CIP", "NAL"),
  mcc = c(0.8, 0.7, 0.6)
)
plotCrossDrug(
  cross_test_performance_path = cross_drug,
  drug_performance_path = performance,
  metadata_path = system.file("extdata", package = "amRml")
)