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Table 4 Evaluation of MLCS against single-localized and multi-localized sequences

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

  MLCS
  0 10 20 30 40 50 60 70 80 90
% of Single-localized data 25.9 21.2 12.6 21.1 13.6 3.1 1.2 0.6 0.4 0.2
Cumulative %, single-localized data 100.0 74.1 52.9 40.3 19.2 5.6 2.4 1.2 0.6 0.2
% of Multi-localized data 1.7 2.1 2.3 17.9 26.2 7.8 6.2 5.3 10.0 20.5
% Overall accuracy, multi-localized sequences only 36.1 45.7 46.9 20.3 34.5 63.3 83.7 86.2 94.4 98.7
Cumulative %, multi-localized data 100.0 98.3 96.2 94.0 76.0 49.8 42.0 35.8 30.5 20.5
Cumulative % accuracy, multi-localized sequences only 59.7 60.1 60.4 60.7 70.3 89.1 93.9 95.6 97.3 98.7
  1. This table shows the percentage of the dataset that resulted in different ranges of the MLCS, as well as the overall accuracy and cumulative accuracy of multi-localized sequences in that range. MLCS, multi-localized confidence score.