Run CisTarget motif enrichment analysis — rs

Core Rust function for motif enrichment analysis using recovery curves.

Usage

rs_cistarget(
  rankings,
  gs_list,
  auc_threshold,
  nes_threshold,
  max_rank,
  method,
  n_mean
)

rankings: Integer matrix with motif rankings for genes (genes in rows, motifs in columns). Lower ranks indicate higher regulatory potential.
gs_list: List of integer vectors. Each element contains 1-based indices of genes in the gene set (matching row indices in rankings).
auc_threshold: Absolute number of top-ranked genes to use for AUC calculation (e.g., for 5% of 10000 genes, use 500).
nes_threshold: Normalised Enrichment Score threshold for filtering significant motifs
max_rank: Maximum rank to consider (typically nrow(rankings)).
method: Recovery curve calculation method: "approx" or "icistarget".
n_mean: Number of points for averaging in approximate method.

List of lists, one per gene set, each containing motif_idx, nes, auc, rank_at_max, n_enriched, and leading_edge.