Bag-of-Motifs (BOM)

BOM is a computational framework that predicts cell-type-specific enhancers by representing distal cis-regulatory elements as counts of transcription factor motifs. It combines this minimalist representation with gradient-boosted trees to achieve accurate predictions across diverse species.