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Table 4 Predictive performance of different prediction methods for the evaluation data sets.

From: Protein subcellular localization prediction based on compartment-specific features and structure conservation

  EV153_low
Localization HYBRID CELLO II PSORTb v.2.0 PSLpred P-CLASSIFIER
  Acc (%) MCC Acc (%) MCC Acc (%) MCC Acc (%) MCC Acc (%) MCC
CP 91.7 0.67 91.7 0.70 63.5 -0.61 89.6 0.59 91.7 0.66
IM 65.4 0.73 46.2 0.64 46.2 -0.58 38.5 0.41 30.8 0.48
PP 45.5 0.25 81.8 0.49 00.0 -0.03 54.5 0.34 81.8 0.49
OM 44.4 0.58 33.3 0.34 22.2 -0.46 44.4 0.58 22.2 0.17
EC 27.3 0.43 45.5 0.50 09.1 -0.29 45.5 0.54 27.3 0.33
Overall 76.5 - 76.5 - 49.7 - 72.5 - 71.9 -
  EV90_high
Localization HYBRID CELLO II PSORTb v.2.0 PSLpred P-CLASSIFIER
  Acc (%) MCC Acc (%) MCC Acc (%) MCC Acc (%) MCC Acc (%) MCC
CP 100.0 0.95 92.9 0.83 100.0 1.00 096.4 0.88 92.9 0.78
IM 96.2 0.97 73.1 0.75 100.0 1.00 92.3 0.92 80.8 0.84
PP 100.0 0.96 61.5 0.58 100.0 1.00 92.3 0.83 46.2 0.46
OM 94.7 0.97 73.7 0.67 94.7 0.97 68.4 0.79 73.7 0.69
EC 75.0 0.86 75.0 0.54 100.0 1.00 100.0 0.81 75.0 0.54
Overall 96.7 - 77.8 - 98.9 - 88.9 - 77.8 -
  EV243_all
Localization HYBRID CELLO II PSORTb v.2.0 PSLpred P-CLASSIFIER
  Acc (%) MCC Acc (%) MCC Acc (%) MCC Acc (%) MCC Acc (%) MCC
CP 93.5 0.80 91.9 0.77 71.8 0.73 91.1 0.72 91.9 0.73
IM 80.8 0.85 59.6 0.70 73.1 0.80 65.4 0.68 55.8 0.67
PP 75.0 0.56 70.8 0.51 54.2 0.66 75.0 0.57 62.5 0.45
OM 78.6 0.85 60.7 0.58 71.4 0.83 60.7 0.73 57.1 0.53
EC 40.0 0.57 53.3 0.50 33.3 0.57 60.0 0.62 40.0 0.39
Overall 84.0 - 77.0 - 67.9 - 78.6 - 74.1 -
  1. § The best performance of overall and individual localization sites is underlined. HYBRID is trained on the PS1444 data set.