Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs

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iLoc-Euk: A Multi-Label Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Eukaryotic Proteins (2011, methodology): “The other trend is to enhance the power of practical application by enlarging the coverage scope, such as from covering only 2 subcellular location sites [12], to 5 location sites [13], to 12 location sites [14,28], and to 22 location sites [40].”
Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites. (2007, neutral): “The predictor obtained through the above modified procedures is called Euk-mPLoc (i) that Figure 1. Schematic illustration to show the 22 subcellular locations of eukaryotic proteins: (1) acrosome, (2) cell wall, (3) centriole, (4) chloroplast, (5) cyanelle, (6) cytoplasm, (7) cytoskeleton, (8) endo”
Recent progress in protein subcellular location prediction. (2007, background): “Although some datasets were constructed with a cutoff to exclude those proteins that had greater than 80% (see, e.g., Ref. [ 24 ]) or 90% (see, e.g., Refs.”
Prediction of protein subcellular localization (2006, methodology): “We followed the same validation procedures for predictive performances as those of the previous works[8, 13, 17].”