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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 setVector lengthP(+): N(−)Sensitivity (%)Specificity (%)Accuracy (%)PPV (%)MCCF1 score (%)AUC
AAC201: 186.3253.3170.0966.040.4374.340.755
PAAC501: 186.3253.3170.0966.040.4374.340.755
CTD3431: 191.0937.8764.5259.520.3471.860.692
DC4001: 188.5944.6366.8362.960.3872.890.715
AAC_PAAC701: 185.1559.9372.9869.020.4775.920.766
AAC_CTD3631: 187.4547.1867.7462.830.3972.810.709
AAC_DC4201: 183.5552.7268.7364.660.3972.690.708
PAAC_CTD3931: 188.5245.2367.0262.460.3972.780.720
PAAC_DC4501: 188.0850.4069.7365.240.4374.400.732
CTD_DC7431: 187.1548.3067.9464.590.4073.080.733
AAC_PAAC_CTD4131: 183.7253.7768.9664.930.4072.720.730
AAC_PAAC_DC4701: 186.3252.4969.8665.640.4374.090.729
AAC_CTD_DC7631: 190.2245.1767.8862.690.4073.720.729
PAAC_CTD_DC7931: 190.3045.2767.8063.620.4073.940.743
AAC_PAAC_CTD_DC8131: 187.5049.4468.5064.000.4173.500.739
Network Analyzer properties
 Network properties91: 178.2490.5184.4389.220.6983.240.858
 Normalized And Filtered Network properties61: 177.7791.7184.7690.450.7083.440.856
  1. The notable performances are indicated by bold