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).