Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches

Note: MF Matrix factorization; BMF Bayesian matrix factorization; KBMF Kernel Bayesian matrix factorization; KRR Kernel ridge regression; NBR Network based regression; NBC Network based classification; CV Cross validation; LOOCV Leave-one-out cross validation; PCC Pearson correlation coefficient; RMSE Root mean square error; MSE Mean square error; SCC Spearman correlation coefficient; NDCG Normalized discounted cumulative gain; R2 Coefficient of determination; NRMSE Normalized root mean squared error; AUC Area under curve; PPI Protein–protein interaction.