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.ngetikin.com/mega-save-NHL-Calgary-Flames-Home-Jersey-iPhone-XR-Skin-p120897-hot-value/