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Table 4 Performance of SWnet in terms of MSE in random split dataset by cell lines with different r-radius subgraphs

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

2.3090

0.6756

Single

No

2

2.3102

0.6755

Single

No

3

2.2793

0.6799

Multi

Yes

1

2.2975

0.6773

Multi

Yes

2

2.2840

0.6792

Multi

Yes

3

2.3304

0.6726

  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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