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Table 2 Comparison of different hybrid approaches using cross-validation for the benchmark data sets.

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

  PS1302
Localization PSL101 PSLseq+PSL101 PSLsse+PSL101
  Acc (%) MCC Acc (%) MCC Acc (%) MCC
CP 97.2 (94.8) 0.91 (0.89) 96.4 (94.4) 0.90 (0.89) 95.6 (94.4) 0.90 (0.90)
IM 94.4 (92.9) 0.95 (0.94) 93.3 (91.8) 0.95 (0.93) 93.3 (91.8) 0.94 (0.93)
PP 87.7 (88.1) 0.86 (0.84) 88.9 (88.9) 0.86 (0.85) 91.4 (91.0) 0.88 (0.88)
OM 94.3 (93.8) 0.94 (0.91) 95.5 (95.7) 0.96 (0.93) 96.3 (96.9) 0.96 (0.95)
EC 87.9 (83.2) 0.87 (0.84) 89.5 (85.8) 0.89 (0.87) 90.0 (87.9) 0.89 (0.89)
Overall 92.7 (91.2) - 93.1 (91.9) - 93.7 (92.9) -
  PS1444
Localization PSL101 PSLseq+PSL101 PSLsse+PSL101
  Acc (%) MCC Acc (%) MCC Acc (%) MCC
CP 96.0 (94.2) 0.91 (0.90) 94.6 (92.8) 0.89 (0.88) 95.0 (93.5) 0.91 (0.90)
IM 94.5 (92.6) 0.95 (0.94) 93.5 (91.6) 0.94 (0.93) 93.5 (91.6) 0.94 (0.93)
PP 85.1 (88.0) 0.82 (0.83) 87.0 (88.4) 0.84 (0.83) 90.2 (91.7) 0.86 (0.87)
OM 94.9 (93.9) 0.93 (0.91) 95.9 (95.7) 0.95 (0.93) 96.7 (96.4) 0.96 (0.95)
EC 82.6 (83.2) 0.83 (0.85) 87.9 (86.3) 0.87 (0.88) 87.4 (87.9) 0.87 (0.89)
Overall 91.6 (91.1) - 92.4 (91.6) - 93.2 (92.8) -
  1. § The performance of incorporating a three-way data split procedure is indicated in the parentheses.