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MOESM1 of In silico prediction of novel therapeutic targets using gene–disease association data

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posted on 2017-08-29, 05:00 authored by Enrico Ferrero, Ian Dunham, Philippe Sanseau
Additional file 1: Figure S1. Exploratory data analysis of the working dataset. (A) Hierarchical clustering using Euclidean distance and Ward’s 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).

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