Table 1 Results on the SM T miRNA datasets.

From: A deep ensemble model to predict miRNA-disease association

Method

AUC

AUPR

RLSMDA

0.7715 ± 0.027

0.0321 ± 0.004

HGIMDA

0.7040 ± 0.025

0.0402 ± 0.006

NCPMDA

0.7760 ± 0.012

0.0578 ± 0.006

PBMDA

0.8194 ± 0.032

0.2106 ± 0.017

RKNNMDA

0.5678 ± 0.016

0.1581 ± 0.038

DeepMDA

0.9126* ± 0.004

0.2297* ± 0.040

SAE + ADA

0.8996 ± 0.010

0.1859 ± 0.026

RAW + DNN

0.9102 ± 0.007

0.1991 ± 0.028

  1. The AUC and AUPR scores are listed above. The * indicates the highest AUC/AUPR score. Generally, the three deep learning models performed better than other five models.
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