Fig. 1
From: Machine learning prediction of oncology drug targets based on protein and network properties
Top features differentiating drug targets from non-targets. The features are significantly different between drug targets and non-targets. The asterisk marks the significance level of the difference: p < 0.05 indicated as *, p < 0.01 indicated as ** and p < 0.001 indicated as ***. The red and black bars correspond to drug and non-drug targets, respectively. a Degree or the number of interactions of the proteins. b Betweenness centrality of the proteins. c Tissue specificity of proteins characterized by Shannon entropy. d Subcellular localization of proteins. e Enzyme classification of proteins. f Essentiality of proteins. g Fraction of protein characterized by different post translational modifications