Improving classification accuracy using gene ontology information

Abstract

Classification problems, e.g., gene function prediction problem, are very important in bioinformatics. Previous work mainly focuses on the improvement of classification techniques used. With the emergence of Gene Ontology (GO), extra knowledge about the gene products can be extracted from GO. Such kind of knowledge reveals the relationship of the gene products and is helpful for solving the classification problems. In this paper, we propose a new method to integrate the knowledge from GO into classifiers. The results from the experiments demonstrate the efficacy of our new method. © Springer-Verlag Berlin Heidelberg 2013.