Before revision:  We also compared the DTF model with random forest and logistic regression models and found that the DTF outperformed the two methods. A further look at the predictive performance of the DTF on the basis of individual cell lines found that the DTF showed an AUC greater than 0.90 for the majority of the cell lines . Applying the DTF model to predict missing entries in our drug-cell line tensor, we identified novel synergistic drug combinations for 27 cell lines from the six cancer types.
After revision:  We also compared the DTF model with random forest and logistic regression models and found that the DTF outperformed the logistic regression model and achieved almost the same performance as DeepSynergy using several typical metrics for the classification task . Applying the DTF model to predict missing entries in our drug-cell line tensor, we identified novel synergistic drug combinations for 27 cell lines from the six cancer types.