Extracting and Explaining Biological Knowledge in Microarray Data

  • Paul J. Kennedy
  • Simeon J. Simoff
  • David Skillicorn
  • Daniel Catchpoole
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3056)


This paper describes a method of clustering lists of genes mined from a microarray dataset using functional information from the Gene Ontology. The method uses relationships between terms in the ontology both to build clusters and to extract meaningful cluster descriptions. The approach is general and may be applied to assist explanation of other datasets associated with ontologies.


Cluster analysis bioinformatics cDNA microarray 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Paul J. Kennedy
    • 1
  • Simeon J. Simoff
    • 1
  • David Skillicorn
    • 2
  • Daniel Catchpoole
    • 3
  1. 1.Faculty of Information TechnologyUniversity of Technology, SydneyBroadwayAustralia
  2. 2.School of ComputingQueen’s UniversityKingstonCanada
  3. 3.The Oncology Research Unit, The Children’s Hospital at WestmeadWestmeadAustralia

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