We present an analytic framework based on Self-Organizing Map (SOM) machine learning to study large scale patient data sets. The potency of the approach is demonstrated in a case study using gene expression data of more than 200 mature aggressive B-cell lymphoma patients. The method portrays each sample with individual resolution. characterizes the subtypes. https://www.jmannino.com/super-value-NFL-Atlanta-Falcons-Team-Jersey-PS5-Digital-Edition-Bundle-Skin-p121054-great-pick/