Machine Learning for Protein Subcellular Localization Prediction

4 Single-location protein subcellular localization

According to a recent comprehensive review [37], the establishment of a statistical protein predictor involves the following five steps: (i) construction of a valid dataset for training and testing the predictor; (ii) formulation of effective mathematical expressions for converting proteins’ characteristics to feature vectors relevant to the prediction task; (iii) development of classification algorithms for discriminating the feature vectors; (iv) evaluation of cross-validation tests for measuring the performance of the predictor; and (v) deployment of a user-friendly publicly accessible web-server for other researchers to use and validate the prediction method. These steps are further elaborated ...