Table 19 Comparing the S-PUL method efficiency with biologists in predicting disease genes from 2017 to 2020
From: Disease candidate genes prediction using positive labeled and unlabeled instances
The name of the disease ↓ | Method→ | Biologists [4] | SPUL_V3 | SPUL_V4 | SPUL_V5 |
|---|---|---|---|---|---|
Adrenal | Number of genes | 29 | 28 | 29 | 29 |
Recall | Â | 96.55% | 100% | 100% | |
Colon | Number of genes | 56 | 54 | 55 | 55 |
Recall | Â | 96.42% | 98.21% | 98.21% | |
Prostate | Number of genes | 67 | 62 | 66 | 66 |
Recall | Â | 92.53% | 98.50% | 98.50% | |
Lung | Number of genes | 27 | 23 | 25 | 26 |
Recall | Â | 85.18% | 92.59% | 96.29% | |
Heart Failure | Number of genes | 58 | 50 | 56 | 57 |
Recall | Â | 86.20% | 96.55% | 98.27% | |
Neurological | Number of genes | 16 | 13 | 16 | 16 |
Recall | Â | 81.25% | 100% | 100% |