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Table 2 The comparison results of different methods obtained under the 10-fold cross validation on CCLE dataset

From: Improved anticancer drug response prediction in cell lines using matrix factorization with similarity regularization

Methods Drug-averaged PCC_S/R Drug-averaged RMSE_S/R Drug-averaged PCC Drug-averaged RMSE
SRMF (drug response + gene expression) 0.78 (±0.07) 0.74 (±0.23) 0.71 (±0.09) 0.57 (±0.18)
SRMF (drug response) 0.76 (±0.08) 0.75 (±0.23) 0.69 (±0.09) 0.60 (±0.23)
KBMF 0.65 (±0.10) 0.81 (±0.20) 0.71 (±0.10) 0.64 (±0.17)
DLN 0.71 (±0.06) 0.99 (±0.43) 0.64 (±0.06) 0.86 (±0.42)
RF 0.69 (±0.10) 0.79 (±0.26) 0.62 (±0.11) 0.61 (±0.20)
  1. PCC_S/R—Drug-averaged Pearson correlation for responses from sensitive and resistant cell lines; RMSE_S/R—Drug-averaged root-mean-square error for responses from sensitive and resistant cell lines; PCC—Drug-averaged Pearson correlation for responses across all cell lines; RMSE—Drug-averaged root-mean-square error for responses across all cell lines. The value shown in the bracket represents standard deviation