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
| Â | MLCS | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Â | 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 |