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Table 3 The comparison of all microbe-disease databases under tenfold cross validations

From: Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding Wasserstein distance

Database

AUROC

AUPR

F1

Precision

Recall

Accuracy

HMDAD

0.9798

0.9855

0.9412

0.9524

0.9302

0.9444

Disbiome

0.9451

0.9388

0.8761

0.8590

0.8939

0.8717

MicroPhenDB

0.9616

0.9576

0.8899

0.8779

0.9022

0.8902

Peryton

0.9668

0.9630

0.9013

0.8726

0.9320

0.9029

  1. The bold values denote the max value in columns
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BMC Biology

ISSN: 1741-7007

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