Table 7 Average ranks based on the disease-associations for the best performing networks of each inference method
From: Functional networks inference from rule-based machine learning models
Source | Category | FuNeL | Pearson | ARACNE | MIC |
|---|---|---|---|---|---|
Curated | 1A | C2 (1) | SN(C2) (4) | SN(C3) (2.5) | SN(C2) (2.5) |
| Â | 2A | C3 (1) | SN(C3) (2) | SE(C2) (3) | SN(C2) (4) |
| Â | 3A | C1 (2) | SN(C1) (3) | SE(C4) (4) | SE(C2) (1) |
| Â | Proximity | C2 (1) | SN(C3) (2.5) | SE(C4) (2.5) | SE(C2) (4) |
| Â | Average | 1.25 | 2.88 | 3 | 2.88 |
Malacards | 1A | C2 (1) | SN(C2) (4) | SN(C4) (3) | SE(C4) (2) |
| Â | 2A | C2 (1.5) | SN(C4) (4) | SE(C4) (1.5) | SN(C2) (3) |
| Â | 3A | C3 (2) | SN(C4) (3) | SE(C2) (4) | SN(C2) (1) |
| Â | Proximity | C2 (1) | SE(C4) (4) | SE(C4) (3) | SE(C2) (2) |
| Â | Average | 1.78 | 3.75 | 2.88 | 2 |