miRNA expression-based classification. An miRNA classifier derived using a Bayesian algorithm resulted in a 27-miRNA classifier (with 11 upregulated and 16 downregulated miRNAs) that can separate BL from DLBCL patients. The precision of the classifier was estimated by LOOCV, and a 90% probability threshold was used to differentiate the 2 entities. The expression of the miRNA classifier is compared in the DLBCL subgroups, mantle cell lymphoma (MCL), small lymphocytic lymphoma (SLL), HGL-UC, and normal B cells and cell lines. Orange boxes highlight the expression pattern in HGL-UC and BL cell lines.