Dataset_ML_KMT2Ar.RData

The KMT2A (MLL) gene rearrangements (KMT2A-r) are associated with a diverse spectrum of acute leukemias. Although most KMT2A-r are restricted to nine partner genes, we have recently revealed that KMT2A-USP2 fusions are often missed during FISH screening of these genetic alterations. Therefore, complementary methods are important for appropriate detection of any KMT2A-r. Here we use a machine learning model to unravel the most appropriate markers for prediction of KMT2A-r in various types of acute leukemia. The RData file - Dataset_ML_KMT2Ar.RData - available only contains the TARGET and Beat-AML data due to the control of the others (EGA studies). Downloading and obtaining data are described in the materials and methods section of the paper.