10.6084/m9.figshare.c.3866461_D7.v1 Enrico Ferrero Enrico Ferrero Ian Dunham Ian Dunham Philippe Sanseau Philippe Sanseau MOESM7 of In silico prediction of novel therapeutic targets using gene–disease association data Springer Nature 2017 Drug discovery Target discovery Gene–disease associations Machine learning Data mining 2017-08-29 05:00:00 Figure https://springernature.figshare.com/articles/figure/MOESM7_of_In_silico_prediction_of_novel_therapeutic_targets_using_gene_disease_association_data/5356897 Additional file 7: Figure S5. Permutation test to assess the significance of the literature-based validation. Ten thousands permutations of the Fisher’s exact test were run using random labels. Histograms show distributions of (A) p values (mean = 0.41, standard deviation = 0.42) and (B) odds ratios (mean = 1.00, standard deviation = 0.08).