Compute RETSI scores and entropy for scATAC-seq regulatory elements

This is a wrapper function that takes a list of per-cell-type differential accessibility results (as GRanges or data.frames), computes RETSI scores, and adds a normalized entropy score to quantify cell-type specificity of each regulatory region.

Usage

spicey_retsi(atac_da)

Arguments

atac_da

A named list of GRanges or data.frames (one per cell type), each with differential accessibility metrics including avg_log2FC and p_val.

Value

A data.frame with RETSI scores and normalized entropy for each region, including region, cell_type, RETSI, and norm_entropy.