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Table 3 Performance of model training with different weight layers, self-attention, or r-radius

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

Weight layer

Self-attention

r-radius

MSE

\(R^2\)

Single

No

1

1.0848

0.8477

Single

No

2

0.9804

0.8623

Single

No

3

1.0694

0.8498

Multi

No

1

1.0654

0.8504

Multi

No

2

1.0078

0.8585

Multi

No

3

0.9767

0.8628

Multi

Yes

1

1.0724

0.8495

Multi

Yes

2

0.9785

0.8626

Multi

Yes

3

0.9384

0.8683

Multi

Yes

4

0.9917

0.8608

Multi

Yes

5

1.2083

0.8304

  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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