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dc.contributor.advisorAamodt, Agnarnb_NO
dc.contributor.advisorLægreid, Astridnb_NO
dc.contributor.authorKusnierczyk, Waclawnb_NO
dc.date.accessioned2014-12-19T13:29:32Z
dc.date.available2014-12-19T13:29:32Z
dc.date.created2008-03-25nb_NO
dc.date.issued2008nb_NO
dc.identifier123846nb_NO
dc.identifier.isbn978-82-471-7555-2nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/249739
dc.description.abstractThe main objective of the reported study was to investigate how biomedical ontologies, logically structured representations of various aspects of the biomedical reality, can help researchers in analyzing experimental data. The dissertation reports two attempts to construct tools for the analysis of high-throughput experimental results using explicit domain knowledge representations. Furthermore, integrative efforts made by the community of Open Biomedical Ontologies (OBO), in which the author has participated, are reported, and a framework for consistently connecting the Gene Ontology (GO) with the Taxonomy of Species is proposed and discussed.nb_NO
dc.languageengnb_NO
dc.publisherFakultet for informasjonsteknologi, matematikk og elektroteknikknb_NO
dc.relation.ispartofseriesDoktoravhandlinger ved NTNU, 1503-8181; 2008:78nb_NO
dc.subjectbioinformatics; high-throughput biomedical data; gene expression microarrays; functional genomics; biomedical ontology;en_GB
dc.subjectTECHNOLOGY: Information technology: Computer scienceen_GB
dc.titleAugmenting Bioinformatics Research with Biomedical Ontologiesnb_NO
dc.typeDoctoral thesisnb_NO
dc.source.pagenumber237nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikknb_NO
dc.description.degreedr.ing.nb_NO
dc.description.degreedr.ing.en_GB


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