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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
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BMC Bioinformatics

ISSN: 1471-2105

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