Through integration of these datasets and the distillation of machine-learned patterns using Regulatory Element Behavior Extraction Learning (REBEL), we identify complex pathways and transcription factor binding environments that support differing transcriptional outcomes in response to PML::RARA recruitment and are recapitulated for at least some crucial myeloid proliferation and differentiation genes in APL patient samples. This evidence concerns the gene RARA and acute promyelocytic leukemia.