Table 3 Results on the full miRNA-disease datasets.

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

Method

AUC

AUPR

RLSMDA

0.8475 ± 0.005

0.1157 ± 0.004

HGIMDA

0.7689 ± 0.011

0.1120 ± 0.007

NCPMDA

0.8731 ± 0.007

0.2801 ± 0.011

PBMDA

0.9086 ± 0.004

0.4378 ± 0.016

RKNNMDA

0.7076 ± 0.005

0.3534 ± 0.011

DeepMDA

0.9486* ± 0.002

0.5917* ± 0.014

SAE + ADA

0.9211 ± 0.002

0.4075 ± 0.011

RAW + DNN

0.9368 ± 0.001

0.4933 ± 0.014

  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 the other five models.
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