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Table 1 Results for 7-gram model using entire dataset

From: ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes

Location Code Precision Sensitivity FPR Specificity MCC
Cytoplasm CYT 0.828 0.775 0.020 0.980 0.777
Cytoskeleton CSK 0.882 0.452 0.001 0.999 0.629
Endoplasmic Reticulum END 0.961 0.789 0.001 0.999 0.867
Extracellular EXC 0.949 0.939 0.021 0.979 0.921
Golgi Apparatus GOL 0.891 0.550 0.001 0.999 0.697
Lysosome LYS 0.953 0.855 0.000 1.000 0.902
Mitochrondria MIT 0.964 0.799 0.003 0.997 0.867
Nuclear NUC 0.807 0.906 0.048 0.952 0.821
Plasma Membrane PLA 0.883 0.958 0.043 0.957 0.892
Perixosome POX 0.938 0.748 0.000 1.000 0.836
Single-localized % overall accuracy 89.03
Multi-localized % overall accuracy (at least 1 correct) 81.88
Multi-localized % overall accuracy (both correct) 59.70
  1. The performance results of ngLOC on a tenfold cross-validation are displayed. The overall accuracy is also reported for multi-localized sequences, comparing at least one localization predicted correctly against both localizations predicted correctly. FPR, false positive rate; MCC, Matthews correlation coefficient.