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Table 3 Estimates of performance metrics for discriminating target-based resistant proteins from non-resistant proteins, under different features

From: DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins

Feature Sn Sp Ac Pre MCC AUC-ROC
AAC 0.912 ± 0.031 0.940 ± 0.055 0.926 ± 0.034 0.941 ± 0.052 0.854 ± 0.068 0.879 ± 0.045
DPC 0.924 ± 0.090 0.981 ± 0.041 0.952 ± 0.057 0.979 ± 0.043 0.909 ± 0.111 0.924 ± 0.083
PAAC 0.919 ± 0.029 0.947 ± 0.053 0.933 ± 0.034 0.948 ± 0.051 0.868 ± 0.067 0.880 ± 0.043
CTD 0.855 ± 0.037 0.945 ± 0.047 0.900 ± 0.034 0.941 ± 0.049 0.804 ± 0.069 0.844 ± 0.028
ACF 0.915 ± 0.037 0.927 ± 0.054 0.921 ± 0.037 0.928 ± 0.051 0.844 ± 0.074 0.846 ± 0.043
  1. Sn Sensitivity, Sp Specificity, Ac Accuracy, Pre Precision, MCC Matthew’s correlation coefficient, AUC-ROC area under ROC curves
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BMC Bioinformatics

ISSN: 1471-2105

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