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Table 1 The cross-validation results of different feature combinations and the optimal selected feature set using mRMR-IFS on the RBP170 dataset

From: A boosting approach for prediction of protein-RNA binding residues

Features ACC SN SP Precision F-measure MCC AUC
PSSM 0.72 ± 0.01 0.69 ± 0.02 0.73 ± 0.01 0.30 ± 0.01 0.42 ± 0.02 0.31 ± 0.02 0.79 ± 0.01
SiteFs 0.77 ± 0.01 0.74 ± 0.02 0.77 ± 0.01 0.36 ± 0.01 0.48 ± 0.01 0.40 ± 0.02 0.84 ± 0.01
SNF-VDs 0.75 ± 0.01 0.80 ± 0.01 0.74 ± 0.01 0.35 ± 0.02 0.48 ± 0.02 0.40 ± 0.02 0.85 ± 0.01
SNF-EDs 0.78 ± 0.01 0.79 ± 0.02 0.78 ± 0.01 0.38 ± 0.02 0.51 ± 0.01 0.44 ± 0.02 0.87 ± 0.01
SNF-EDs+SNF-VDs 0.82 ± 0.01 0.81 ± 0.02 0.82 ± 0.01 0.44 ± 0.02 0.57 ± 0.02 0.51 ± 0.02 0.89 ± 0.01
SiteFs+SNF-EDs+SNF-VDs 0.82 ± 0.01 0.83 ± 0.01 0.83 ± 0.01 0.46 ± 0.02 0.58 ± 0.01 0.53 ± 0.01 0.91 ± 0.01
mRMR-IFS (Top177) 0.84 ± 0.01 0.85 ± 0.02 0.84 ± 0.01 0.47 ± 0.02 0.60 ± 0.02 0.55 ± 0.02 0.92 ± 0.01