PTEN and cancer: To better understand the interplay of protein properties between the distinct disease states associated with PTEN mutations, we used data visualization techniques to analyze property distributions across both main (ASD, Cancer, Non-pathogenic) and interim classes (Both, PHTS and CS) and supervised machine learning approaches to assess our ability to predict the three main phenotypes observed.