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Improving Classification Accuracy Using Gene Ontology Information

  • Ying Shen
  • Lin Zhang
Part of the Communications in Computer and Information Science book series (CCIS, volume 375)

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.

Keywords

Gene Ontology Semantic Similarity Distance Metric Learning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ying Shen
    • 1
  • Lin Zhang
    • 1
  1. 1.School of Software EngineeringTongji UniversityShanghaiChina

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