Table 2 Mixed features based performance on disease and non-disease associated proteins dataset
From: Identification of infectious disease-associated host genes using machine learning techniques
Mixed features | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
Features set | Methods | Vector length | P(+): N(−) | Sensitivity (%) | Specificity (%) | Accuracy (%) | PPV (%) | MCC | F1 score (%) | AUC |
AAC_Network properties | DNN | 29 | 1: 1 | 82.23 | 88.30 | 85.41 | 88.10 | 0.71 | 84.91 | 0.900 |
PAAC_Network properties | DNN | 59 | 1: 1 | 86.00 | 87.48 | 86.94 | 87.93 | 0.74 | 86.76 | 0.909 |
AAC_PAAC_ Network properties | DNN | 79 | 1: 1 | 86.81 | 85.27 | 86.12 | 85.89 | 0.72 | 86.25 | 0.905 |
Normalized And Filtered AAC_Network properties | DNN | 26 | 1: 1 | 83.78 | 86.90 | 85.51 | 86.95 | 0.71 | 85.21 | 0.904 |
Normalized And Filtered PAAC_Network properties | DNN | 41 | 1: 1 | 85.54 | 86.46 | 86.08 | 86.52 | 0.72 | 85.96 | 0.902 |
Normalized And Filtered AAC_PAAC_Network properties | DNN | 60 | 1: 1 | 85.54 | 87.36 | 86.56 | 87.68 | 0.73 | 86.45 | 0.909 |