Table 4.

AUC of logistic regression model to predict synergistic combinations: Spearman correlation-based expression similarity scores

	6 h, IC20 (48 h)	6 h, IC20 (24 h)	12 h, IC20 (48 h)	12 h, IC20 (24 h)	24 h, IC20 (48 h)	24 h, IC20 (24 h)
All	0.45 [0.71]	0.72 [0.78]	0.45 [0.71]	0.65 [0.76]	0.59 [0.73]	0.59 [0.71]
Top 10000	0.48 [0.71]	0.75 [0.78]	0.42 [0.71]	0.63 [0.75]	0.63 [0.75]	0.63 [0.72]
Top 5000	0.54 [0.72]	0.75 [0.79]	0.43 [0.71]	0.59 [0.74]	0.66 [0.75]	0.62 [0.72]
Top 2000	0.60 [0.73]	0.74 [0.79]	0.46 [0.71]	0.50 [0.73]	0.68 [0.75]	0.51 [0.71]
Top 1000	0.61 [0.73]	0.76 [0.79]	0.49 [0.71]	0.48 [0.72]	0.67 [0.75]	0.45 [0.69]

AUCs are shown using gene expression similarity only and combining gene expression similarity with structural similarity (in brackets).