An analysis and hypothesis generation platform for heterogeneous cancer databases

Philip Roy Quinlan, Alastair Thompson, Chris Reed

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)


    The field of cancer research is now generating vast amounts of data from a variety of high throughput techniques and these have helped to define cancers based on their genetic foundations. As this knowledge on the processes and underlying genetics of cancer improve, these should be factored back into the research and analyses conducted by other researchers. Managing this volume of data, often conflicting, is becoming increasingly challenging for researchers. This work demonstrates an innovative application of argumentation theory within cancer research by providing a framework to accommodate missing data, address critical questions and generate hypotheses. The prototype system has been validated to demonstrate it identifies the same interesting interactions and molecules as researchers, even when certain key data was deliberately withheld from the system.
    Original languageEnglish
    Title of host publicationComputational Models of Argument
    Subtitle of host publicationProceedings of COMMA 2012
    EditorsBart Verheij, Stefan Szeider, Stefan Woltran
    Place of PublicationAmsterdam
    PublisherIOS Press
    Number of pages12
    ISBN (Electronic)9781614991113
    ISBN (Print)9781614991106
    Publication statusPublished - 2012
    EventFourth International Conference on Computational Models of Argument - Vienna University of Technology, Vienna, Austria
    Duration: 10 Sept 201212 Sept 2012

    Publication series

    NameFrontiers in artificial intelligence and applications
    PublisherIOS Press


    ConferenceFourth International Conference on Computational Models of Argument
    Abbreviated titleCOMMA 2012
    Internet address


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