Research Article
Prediction of miRNA-Disease Association Using Deep Collaborative Filtering
Table 1
Performance comparison for HDMP, RLSMDA, IMCMDA, SPM, and DCFMDA in terms of F1 score.
| | Top 100 | Top 200 | Top 300 | Top 400 | Top 500 | Top 600 | Top 700 | Top 800 | Top 900 | Top 1000 |
| DCFMDA | 0.8827 | 0.8919 | 0.9091 | 0.8996 | 0.8938 | 0.8806 | 0.8773 | 0.8803 | 0.8854 | 0.8777 | HDMP | 0.9130 | 0.9417 | 0.8047 | 0.7635 | 0.7760 | 0.8201 | 0.8215 | 0.8405 | 0.8424 | 0.8317 | RLSMDA | 0.9473 | 0.9247 | 0.9209 | 0.9262 | 0.9142 | 0.9041 | 0.8906 | 0.8788 | 0.8701 | 0.8623 | IMCMDA | 0.9847 | 0.9446 | 0.8785 | 0.8506 | 0.8372 | 0.8048 | 0.7784 | 0.7635 | 0.7439 | 0.7318 | SPM | 0.9583 | 0.9333 | 0.9150 | 0.8732 | 0.8345 | 0.8142 | 0.8003 | 0.7943 | 0.7879 | 0.7812 |
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