O'Reilly logo

Machine Learning for Protein Subcellular Localization Prediction by Man-Wai Mak, Shibiao Wan

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

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 ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required