Table 3 Predictive power of features on RB144 data set.
From: Exploiting structural and topological information to improve prediction of RNA-protein binding sites
AUC | Type | Size | Feature |
|---|---|---|---|
0.65 | - | 1 | Retention coefficient (RC) |
0.66 | sequential | 11 | Averaged retention coefficient (saRC) |
0.69 | topological | 19 | Averaged retention coefficient (taRC) |
0.69 | spatial | 19 | Averaged retention coefficient (aRC) |
0.70 | - | 1 | Accessible surface area (ASA) |
0.69 | spatial | 19 | Averaged Accessible surface area (aASA) |
0.69 | - | 1 | Relative accessible surface area (rASA) |
0.68 | spatial | 19 | Averaged Relative accessible surface area (arASA) |
0.66 | spatial | 19 | Density (D) |
0.56 | - | 1 | Betweenness centrality (BC) |
0.71 | topological | 19 | Averaged betweenness centrality (aBC) |
0.69 | - | 1 | Status (S) |
0.69 | topological | 19 | Averaged Status (aS) |
0.62 | - | 1 | Cluster coefficient (CC) |
0.64 | topological | 19 | Averaged cluster coefficient (aCC) |
0.64 | - | 1 | Degree (G) |
0.64 | topological | 19 | Averaged degree (aG) |
0.63 | - | 1 | Eccentricity (E) |
0.64 | topological | 19 | Averaged eccentricity (aE) |
0.62 | - | 1 | Closeness (C) |
0.64 | topological | 19 | Averaged closeness (aC) |