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Table 1 Detailed performance of various SVM based modules and EuPSI-BLAST on the RH2427 dataset

From: ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins

Approaches

Cytoplasm

Mitochondria

Nuclear

Extracellular

Overall

Average

 

ACC

MCC

ACC

MCC

ACC

MCC

ACC

MCC

ACC

MCC

ACC

MCC

AAC-NTerm (A)

82.2

0.76

83.5

0.82

90.3

0.80

86.2

0.86

86.5

0.80

85.5

0.81

PSSM based (B)

84.1

0.79

71.3

0.74

95.2

0.85

93.2

0.95

88.6

0.83

86.0

0.83

*EuPSI-BLAST (C)

77.6

---

54.8

---

84.5

---

86.7

---

---

---

---

---

Hybrid1 (A+B)

86.1

0.84

89.4

0.89

95.2

0.87

93.9

0.94

91.7

0.88

91.1

0.89

Hybrid2 (A+B+C)

89.6

0.87

90.7

0.91

96.4

0.91

95.7

0.96

93.6

0.90

93.1

0.91

  1. ACC is accuracy; MCC is Matthew correlation coefficient
  2. ACC is calculated in percentage
  3. *The results are obtained from ESLpred method 20