From: Using discriminative vector machine model with 2DPCA to predict interactions among proteins
Model | Test set | Acc (%) | Sen (%) | Pre (%) | MCC |
---|---|---|---|---|---|
Guo [13] | ACC | 89.33 ± 2.67 | 89.93 ± 3.68 | 88.87 ± 6.16 | N/A |
AC | 87.36 ± 1.38 | 87.30 ± 4.68 | 87.82 ± 4.33 | N/A | |
Yang [25] | Cod1 | 75.08 ± 1.13 | 75.81 ± 1.20 | 74.75 ± 1.23 | N/A |
Cod2 | 80.04 ± 1.06 | 76.77 ± 0.69 | 82.17 ± 1.35 | N/A | |
Cod3 | 80.41 ± 0.47 | 78.14 ± 0.90 | 81.66 ± 0.99 | N/A | |
Cod4 | 86.15 ± 1.17 | 81.03 ± 1.74 | 90.24 ± 1.34 | N/A | |
You [26] | EELM | 87.00 ± 0.29 | 86.15 ± 0.43 | 87.59 ± 0.32 | 0.7736 ± 0.0044 |
Wong [27] | RF + PR-LPQ | 93.92 ± 0.36 | 91.10 ± 0.31 | 96.45 ± 0.45 | 0.8856 ± 0.0063 |
Our method | DVM | 97.06 ± 0.06 | 96.97 ± 0.35 | 96.89 ± 0.38 | 0.9412 ± 0.0012 |