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Table 2 Evaluation of each modification in tenfold cross-validation before CWGAN

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

 

Acc

Sp

Sn

MCC

AUC

S1

0.8510

0.8396

0.8867

0.6583

0.9682

S2

0.9169

0.9643

0.5327

0.5421

0.9080

S3

0.9177

0.9827

0.2891

0.3912

0.8693

S4

0.9362

0.9857

0.4372

0.5435

0.9185

S5

0.9140

0.9545

0.6411

0.6096

0.9300

S6

0.9390

0.9885

0.4510

0.5723

0.9206

S7

0.9065

0.8981

0.9326

0.7749

0.9829

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BMC Bioinformatics

ISSN: 1471-2105

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