Ontology Guided Data Integration for Computational Prioritization of Disease Genes

  • Bert Coessens
  • Stijn Christiaens
  • Ruben Verlinden
  • Yves Moreau
  • Robert Meersman
  • Bart De Moor
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4277)


In this paper we present our progress on a framework for collection and presentation of biomedical information through ontology-based mediation. The framework is built on top of a methodology for computational prioritization of candidate disease genes, called Endeavour. Endeavour prioritizes genes based on their similarity with a set of training genes while using a wide variety of information sources. However, collecting information from different sources is a difficult process and can lead to non-flexible solutions. In this paper we describe an ontology-based mediation framework for efficient retrieval, integration, and visualization of the information sources Endeavour uses. The described framework allows to (1) integrate the information sources on a conceptual level, (2) provide transparency to the user, (3) eliminate ambiguity and (4) increase efficiency in information display.


Gene Ontology Ontological Commitment Training Gene Gene Prioritization Prioritization Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bert Coessens
    • 1
  • Stijn Christiaens
    • 2
  • Ruben Verlinden
    • 2
  • Yves Moreau
    • 1
  • Robert Meersman
    • 2
  • Bart De Moor
    • 1
  1. 1.Department of Electrical EngineeringKatholieke Universiteit Leuven 
  2. 2.Semantics Technology and Applications Research LaboratoryVrije Universiteit Brussel 

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