8 Experimental setup
As stated in a comprehensive review [37], valid dataset construction for training and testing, and unbiased measurements for evaluating the performance of predictors are two indispensable steps in establishing a statistical protein predictor. This chapter will focus on these two important parts for an experimental setup. Datasets construction and performance metrics for predicting single- and multi-label proteins will be presented.
8.1 Prediction of single-label proteins
This section will focus on constructing datasets and will introduce performance metrics for single-location proteins which are used in GOASVM and InterProGOSVM.
8.1.1 Datasets construction
8.1.1.1 Datasets for GOASVM
Two benchmark datasets (EU16 [46] and ...
Get Machine Learning for Protein Subcellular Localization Prediction now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
