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Table 3 Evaluation of each modification in tenfold cross-validation after CWGAN

From: Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks

 

Acc

Sp

Sn

MCC

AUC

S1

0.9289

0.9347

0.8939

0.7485

0.9859

S2

0.9625

0.9851

0.8253

0.8408

0.9830

S3

0.9593

0.9912

0.7703

0.8274

0.9749

S4

0.9711

0.9937

0.8362

0.8786

0.9857

S5

0.9658

0.9811

0.8743

0.8602

0.9897

S6

0.9730

0.9957

0.8345

0.8848

0.9848

S7

0.9572

0.9539

0.9771

0.8507

0.9964

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BMC Bioinformatics

ISSN: 1471-2105

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