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Table 10 Prediction results of different methods on CL317 dataset by jackknife test

From: Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction

  Jackknife test (%)
Methods Sensitivity for each class (%) OA (%)
Cy Me Mi Se Nu En
ID [93] 81.3 81.8 85.3 88.2 82.7 83.0 82.7
ID_SVM [39] 91.1 89.1 79.4 58.8 73.1 87.2 84.2
DF_SVM [21] 92.9 85.5 76.5 76.5 93.6 86.5 88.0
FKNN [40] 93.8 92.7 82.4 76.5 90.4 93.6 90.9
PseAAC_SVM [95] 93.8 90.9 85.3 76.5 90.4 95.7 91.1
EN_FKNN [96] 98.2 83.6 79.4 82.4 90.4 97.9 91.5
DWT_SVM [41] 100 98.2 82.4 94.1 100 100 97.5
Auto_Cova [42] 86.4 90.7 93.8 85.7 92.1 93.8 90.0
APSLAP [97] 99.1 89.1 85.3 88.2 84.3 95.8 92.4
Liu et al. [43] 98.2 96.4 94.1 82.4 96.2 95.7 95.9
PSSM_AC [98] 93.8 90.9 91.2 82.4 86.5 95.7 91.5
DCCA coefficient [46] 91.1 92.7 82.4 76.5 80.8 93.6 88.3
PsePSSM-DCCA-LFDA 99.1 100 100 100 100 100 99.7