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Table 1 Comparison of performances with previously published methods

From: SWnet: a deep learning model for drug response prediction from cancer genomic signatures and compound chemical structures

Dataset Model MSE \(R^2\)
GDSC KBMTL 1.2642 0.8225
SRMF 0.9874 0.8614
WGRMF 0.9844 0.8618
GraphDRP 1.2586 0.8229
CDRscan 2.1525 0.6978
SWnet 0.9384 0.8683
CCLE KBMTL 1.9480 0.5439
SRMF 1.2565 0.7058
WGRMF 1.3026 0.6950
GraphDRP 1.3121 0.6928
CDRscan 1.1960 0.7200
SWnet 1.1604 0.7283
  1. Bold values represents the result is the best performance among the models participating in the comparison