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dc.contributor.authorAbou-Gouda, Samar A.
dc.contributor.otherQueen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))en
dc.date2007-12-11 12:15:40.096en
dc.date.accessioned2007-12-18T19:15:20Z
dc.date.available2007-12-18T19:15:20Z
dc.date.issued2007-12-18T19:15:20Z
dc.identifier.urihttp://hdl.handle.net/1974/940
dc.descriptionThesis (Master, Computing) -- Queen's University, 2007-12-11 12:15:40.096en
dc.description.abstractIn the absence of clinical markers for Chronic Fatigue Syndrome (CFS), research to find a biological basis for it is still open. Many data-mining techniques have been widely employed to analyze biomedical data describing different aspects of CFS. However, the inconsistency of the results of these studies reflect the uncertainty in regards to the real basis of this disease. In this thesis, we show that CFS has a biological basis that is detectable in gene expression data better than blood profile and Single Nucleotide Polymorphism (SNP) data. Using random forests, the analysis of gene expression data achieves a prediction accuracy of approximately 89%. We also identify sets of differentially expressed candidate genes that might contribute to CFS. We show that the integration of data spanning multiple levels of the biological scale might reveal further insights into the understanding of CFS. Using integrated data, we achieve a prediction accuracy of approximately 91%. We find that Singular Value Decomposition (SVD) is a useful technique to visualize the performance of random forests.en
dc.format.extent841075 bytes
dc.format.mimetypeapplication/pdf
dc.languageenen
dc.language.isoenen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectComputer Scienceen
dc.subjectData Miningen
dc.titleExplicating a Biological Basis for Chronic Fatigue Syndromeen
dc.typeThesisen
dc.description.degreeMasteren
dc.contributor.supervisorSkillicorn, B. Daviden
dc.contributor.departmentComputingen


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