Estimating eukaryotic subcellular proteomes <p>ngLOC is an <it>n</it>-gram-based Bayesian classification method that can predict the localization of a protein sequence over ten distinct subcellular organelles.</p> We present a method called ngLOC, an n-gram-based Bayesian classifier that predicts the localization of a protein sequence over ten distinct subcellular organelles. A tenfold cross-validation result shows an accuracy of 89% for sequences localized to a single organelle, and 82% for those localized to multiple organelles. An enhanced version of ngLOC was developed to estimate the subcellular proteomes of eight eukaryotic organisms: yeast, nematode, fruitfly, mosquito, zebrafish, chicken, mouse, and human.
For example REF , has used N-Gram analysis specifically to create a Bayesian classifier to predict the localization of a protein sequence over 10 distinct eukaryotic organisms.
ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes