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Table 1 The experimental results of all baseline methods and our HMMF model on the benchmark dataset are presented

From: HMMF: a hybrid multi-modal fusion framework for predicting drug side effect frequencies

Model

AUROC

AUPR

RMSE

MAE

Galeano’s method

0.9182

0.9178

1.2980

0.9530

DSGAT

0.9256

0.1893

1.0599

0.7642

MGPred

0.9268

0.9175

0.6635

0.5058

SDPred

0.9382

0.9352

0.6089

0.4375

NRFSE

0.9289

0.1948

0.9882

0.7342

HMMF

0.9428

0.9398

0.5810

0.4216

  1. Higher values indicate better results for AUROC and AUPR, while for RMSE and MAE, lower values are preferred
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BMC Bioinformatics

ISSN: 1471-2105

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