Fig. 1From: In silico drug combination discovery for personalized cancer therapya Reformatted experimental data from O‘Neil’s dataset for analyzing by Combenefit. b Synergy scores calculated by Combenefit. c For predicting synergy scores, each sample is vectorized. The vector contains drug targets, genomic information of a cell line, pharmacological data, and other external knowledge such as synthetic lethality. d and e Predicted synergy scores calculated using various machine learning models. Pearson correlation coefficient and F1 score were used as the evaluation metrics for the regression models and classification models, respectivelyBack to article page