Table 5 Predicting performance in identifying eight main NR families based on Feature set 3 and Feature set 5
From: Accurate prediction of nuclear receptors with conjoint triad feature
NR Subfamily | CTF | CTF + AAC | ||||||
|---|---|---|---|---|---|---|---|---|
Sens(i) | Spec(i) | Acc(i) | MCC(i) | Sens(i) | Spec(i) | Acc(i) | MCC(i) | |
NR1 | 158/162 = 0.9753 | 0.9519 | 0.9599 | 0.9135 | 158/162 = 0.9753 | 0.9551 | 0.9620 | 0.8966 |
NR2 | 132/140 = 0.9429 | 0.9700 | 0.9620 | 0.9091 | 133/140 = 0.95 | 0.9731 | 0.9663 | 0.9189 |
NR3 | 77/82 = 0.9390 | 0.9949 | 0.9852 | 0.9479 | 78/82 = 0.9512 | 0.9949 | 0.9873 | 0.955 |
NR4 | 20/23 = 0.8696 | 1 | 0.9937 | 0.9294 | 20/23 = 0.8696 | 1 | 0.9937 | 0.9294 |
NR5 | 27/29 = 0.9310 | 1 | 0.9958 | 0.9627 | 27/29 = 0.9310 | 1 | 0.9958 | 0.9627 |
NR6 | 5/7 = 0.7143 | 1 | 0.9958 | 0.8434 | 5/7 = 0.7143 | 1 | 0.9958 | 0.8433 |
NR7 | 20/21 = 0.9524 | 1 | 0.9979 | 0.9748 | 20/21 = 0.9524 | 1 | 0.9979 | 0.9748 |
NR8 | 8/10 = 0.8 | 1 | 0.9958 | 0.8925 | 8/10 = 0.8 | 1 | 0.9958 | 0.8340 |
Overall | 447/474 = 0.9430 | 0.9919 | 0.9858 | 0.9349 | 449/474 = 0.9473 | 0.9925 | 0.9868 | 0.9397 |