To explore possible pathways downstream of JAK2 that could explain this link to myeloid diseases, we applied a machine learning approach (XGBoost) to AML TCGA data as a relevant and closely related blood cancer. The gene discussed is JAK2; the disease is hematopoietic and lymphoid system neoplasm.