Table 1 Features wise performance measures on disease and non-disease associated proteins dataset using deep neural network classifier
From: Identification of infectious disease-associated host genes using machine learning techniques
Primary sequence features | |||||||||
|---|---|---|---|---|---|---|---|---|---|
Features set | Vector length | P(+): N(−) | Sensitivity (%) | Specificity (%) | Accuracy (%) | PPV (%) | MCC | F1 score (%) | AUC |
AAC | 20 | 1: 1 | 86.32 | 53.31 | 70.09 | 66.04 | 0.43 | 74.34 | 0.755 |
PAAC | 50 | 1: 1 | 86.32 | 53.31 | 70.09 | 66.04 | 0.43 | 74.34 | 0.755 |
CTD | 343 | 1: 1 | 91.09 | 37.87 | 64.52 | 59.52 | 0.34 | 71.86 | 0.692 |
DC | 400 | 1: 1 | 88.59 | 44.63 | 66.83 | 62.96 | 0.38 | 72.89 | 0.715 |
AAC_PAAC | 70 | 1: 1 | 85.15 | 59.93 | 72.98 | 69.02 | 0.47 | 75.92 | 0.766 |
AAC_CTD | 363 | 1: 1 | 87.45 | 47.18 | 67.74 | 62.83 | 0.39 | 72.81 | 0.709 |
AAC_DC | 420 | 1: 1 | 83.55 | 52.72 | 68.73 | 64.66 | 0.39 | 72.69 | 0.708 |
PAAC_CTD | 393 | 1: 1 | 88.52 | 45.23 | 67.02 | 62.46 | 0.39 | 72.78 | 0.720 |
PAAC_DC | 450 | 1: 1 | 88.08 | 50.40 | 69.73 | 65.24 | 0.43 | 74.40 | 0.732 |
CTD_DC | 743 | 1: 1 | 87.15 | 48.30 | 67.94 | 64.59 | 0.40 | 73.08 | 0.733 |
AAC_PAAC_CTD | 413 | 1: 1 | 83.72 | 53.77 | 68.96 | 64.93 | 0.40 | 72.72 | 0.730 |
AAC_PAAC_DC | 470 | 1: 1 | 86.32 | 52.49 | 69.86 | 65.64 | 0.43 | 74.09 | 0.729 |
AAC_CTD_DC | 763 | 1: 1 | 90.22 | 45.17 | 67.88 | 62.69 | 0.40 | 73.72 | 0.729 |
PAAC_CTD_DC | 793 | 1: 1 | 90.30 | 45.27 | 67.80 | 63.62 | 0.40 | 73.94 | 0.743 |
AAC_PAAC_CTD_DC | 813 | 1: 1 | 87.50 | 49.44 | 68.50 | 64.00 | 0.41 | 73.50 | 0.739 |
Network Analyzer properties | |||||||||
 Network properties | 9 | 1: 1 | 78.24 | 90.51 | 84.43 | 89.22 | 0.69 | 83.24 | 0.858 |
 Normalized And Filtered Network properties | 6 | 1: 1 | 77.77 | 91.71 | 84.76 | 90.45 | 0.70 | 83.44 | 0.856 |