Ferrero, Enrico Dunham, Ian Sanseau, Philippe MOESM1 of In silico prediction of novel therapeutic targets using gene–disease association data Additional file 1: Figure S1. Exploratory data analysis of the working dataset. (A) Hierarchical clustering using Euclidean distance and Wardâs linkage: columns represent features, rows represent genes and are coloured according to their label (green: target; purple: non-target); (B) Principal Component Analysis: each dot represents a gene and is coloured according to its label (green: target, purple: non-target). Drug discovery;Target discovery;Geneâdisease associations;Machine learning;Data mining 2017-08-29