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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