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An analysis and hypothesis generation platform for heterogeneous cancer databases

An analysis and hypothesis generation platform for heterogeneous cancer databases

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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
Pages59-70
Number of pages12
ISBN (Electronic)9781614991113
ISBN (Print)9781614991106
DOIs
StatePublished - 2012
EventFourth International Conference on Computational Models of Argument - Vienna, Austria

Publication series

NameFrontiers in artificial intelligence and applications
PublisherIOS Press
Volume245

Conference

ConferenceFourth International Conference on Computational Models of Argument
Abbreviated titleCOMMA 2012
CountryAustria
CityVienna
Period10/09/1212/09/12
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Abstract

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. © 2012 The authors and IOS Press. All rights reserved.

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