Table 1 Performance comparison for different deep learning models on Dataset1.
From: Hybrid framework for membrane protein type prediction based on the PSSM
Types | Methods | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Capnet | OCNN | ICNN | ||||||||||
Pre | Se | F-m | Mcc | Pre | Se | F-m | Mcc | Pre | Se | F-m | Mcc | |
Single-span type I | 0.92 | 0.93 | 0.92 | 0.92 | 0.95 | 0.94 | 0.94 | 0.93 | 0.95 | 0.96 | 0.96 | 0.95 |
Single-span type II | 0.69 | 0.85 | 0.76 | 0.76 | 0.69 | 0.92 | 0.79 | 0.80 | 0.69 | 0.95 | 0.80 | 0.81 |
Single-span type III | 0.00 | 0.00 | 0.00 | 0.00 | 0.14 | 0.33 | 0.20 | 0.22 | 0.20 | 0.50 | 0.29 | 0.31 |
Single-span type IV | 0.73 | 0.92 | 0.81 | 0.82 | 0.61 | 0.92 | 0.73 | 0.75 | 0.65 | 0.92 | 0.76 | 0.77 |
Multi-span type | 0.99 | 0.96 | 0.98 | 0.91 | 0.99 | 0.96 | 0.98 | 0.91 | 0.99 | 0.97 | 0.98 | 0.93 |
Lipid-chain-anchored | 0.59 | 0.53 | 0.56 | 0.55 | 0.67 | 0.68 | 0.68 | 0.67 | 0.64 | 0.66 | 0.65 | 0.65 |
GPI-anchored | 0.49 | 0.89 | 0.63 | 0.66 | 0.60 | 0.91 | 0.72 | 0.74 | 0.80 | 0.96 | 0.87 | 0.87 |
Peripheral | 0.78 | 0.90 | 0.84 | 0.82 | 0.80 | 0.90 | 0.85 | 0.83 | 0.85 | 0.90 | 0.88 | 0.86 |
Average | 0.65 | 0.75 | 0.69 | 0.68 | 0.68 | 0.82 | 0.74 | 0.73 | 0.72 | 0.85 | 0.77 | 0.77 |
Weighted average | 0.95 | 0.94 | 0.94 | 0.89 | 0.95 | 0.95 | 0.95 | 0.90 | 0.96 | 0.96 | 0.96 | 0.92 |
