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Table 1 Results for bladder urothelial carcinoma (BLCA) dataset

From: Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE)

Model name

Average precision

AUC

SVM

0.587

0.688

Decision tree

0.590

0.575

Naive Bayes

0.456

0.635

Random forest

0.575

0.670

AdaBoost

0.587

0.662

Variational AE

0.528

0.563

Adversarial AE

0.617

0.693

Multi-view AE

0.595

0.699

MAE + feat_int

0.650

0.719

MAE + view_sim

0.652

0.723

MAE + feat_int + view_sim

0.664

0.740

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BMC Genomics

ISSN: 1471-2164

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