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Table 1 The comparison results of different methods obtained under the 10-fold cross validation on GDSC 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 RMSE_S/R Drug-averaged RMSE
SRMF (drug response + gene expression) 0.71 (±0.15) 1.73 (±0.46) 0.62 (±0.16) 1.43 (±0.36)
SRMF (drug response) 0.69 (±0.16) 1.72 (±0.48) 0.59 (±0.17) 1.45 (±0.39)
KBMF 0.59 (±0.14) 2.00 (±0.51) 0.49 (±0.14) 1.59 (±0.42)
DLN 0.55 (±0.14) 2.49 (±0.85) 0.44 (±0.13) 2.08 (±0.83)
RF 0.50 (±0.15) 2.23 (±0.66) 0.40 (±0.14) 1.69 (±0.50)
  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