Protein fold recognition with combined SVM-RDA classifier

Abstract

Predicting the three-dimensional (3D) structure of a protein is a key problem in molecular biology. It is also an interesting issue for statistical methods recognition. There are many approaches to this problem considering discriminative and generative classifiers. In this paper a classifier combining the well-known Support Vector Machine (SVM) classifier with Regularized Discriminant Analysis (RDA) classifier is presented. It is used on a real world data set. The obtained results improve previously published methods. © 2010 Springer-Verlag.