Parallel feature ranking for multiple drugs — run_parallel_feature_ranking

Runs feature_ranking_bulk for a list of drugs.

Usage

run_parallel_feature_ranking_bulk(
  infunc_DrugsToUse,
  id_cancerType = "PanCan",
  infunc_exclude_cancer = "PanCan",
  infunc_GOI,
  ncores = 4
)

Arguments

infunc_DrugsToUse: Character vector. Drug names to rank features for.
id_cancerType: Character. Cancer type. Default = "PanCan".
infunc_exclude_cancer: Character. Cancer type to exclude. Default = "PanCan".
infunc_GOI: Character vector. Genes of Interest.
ncores: Integer. Kept for API compatibility; ignored (see NOTE above).

Value

A list of feature ranking results, one per drug.

Details

NOTE: feature ranking is fully vectorized (~0.15 s per drug over 15k genes), so this deliberately runs SERIALLY. The old Windows PSOCK path serialized the 567 MB DepMap into every worker (clusterExport) and then still failed — workers are clean R sessions without the package's internal helpers — before silently falling back to serial; that cost ~10x for zero benefit.