Table 2.
Prediction results of CNNMDA and other four methods for 15 diseases in terms of the area under the precision–recall curve (AUPR).
Diseases Name | AUPR CNNMDA | GSTRW | DMPred | BNPMDA | Liu’s Method |
---|---|---|---|---|---|
Breast neoplasms | 0.919 | 0.261 | 0.681 | 0.245 | 0.378 |
Hepatocellular carcinoma | 0.871 | 0.234 | 0.539 | 0.574 | 0.335 |
Renal cell carcinoma | 0.549 | 0.127 | 0.325 | 0.328 | 0.152 |
Squamous cell carcinoma | 0.290 | 0.104 | 0.191 | 0.272 | 0.170 |
Colorectal neoplasms | 0.425 | 0.136 | 0.279 | 0.177 | 0.273 |
Glioblastoma | 0.277 | 0.142 | 0.270 | 0.452 | 0.166 |
Heart failure | 0.874 | 0.160 | 0.669 | 0.451 | 0.157 |
Acute myeloid leukemia | 0.262 | 0.118 | 0.236 | 0.367 | 0.207 |
Lung neoplasms | 0.706 | 0.140 | 0.481 | 0.480 | 0.343 |
Melanoma | 0.896 | 0.157 | 0.410 | 0.477 | 0.309 |
Ovarian neoplasms | 0.543 | 0.152 | 0.453 | 0.386 | 0.239 |
Pancreatic neoplasms | 0.593 | 0.133 | 0.308 | 0.136 | 0.283 |
Prostatic neoplasms | 0.673 | 0.150 | 0.414 | 0.175 | 0.231 |
Stomach neoplasms | 0.881 | 0.207 | 0.503 | 0.306 | 0.303 |
Urinary bladder neoplasms | 0.694 | 0.134 | 0.331 | 0.292 | 0.229 |
The bold values indicate the higher AUPRs.