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dc.contributor.authorHoehndorf, Robert
dc.contributor.authorGkoutos, Georgios V.
dc.contributor.authorSchofield, Paul N.
dc.date.accessioned2021-04-12T06:49:38Z
dc.date.available2021-04-12T06:49:38Z
dc.date.issued2016-04-27
dc.identifier.citationHoehndorf, R., Gkoutos, G. V., & Schofield, P. N. (2016). Datamining with Ontologies. Data Mining Techniques for the Life Sciences, 385–397. doi:10.1007/978-1-4939-3572-7_19
dc.identifier.isbn9781493935703
dc.identifier.isbn9781493935727
dc.identifier.issn1064-3745
dc.identifier.issn1940-6029
dc.identifier.pmid27115643
dc.identifier.doi10.1007/978-1-4939-3572-7_19
dc.identifier.urihttp://hdl.handle.net/10754/668674
dc.description.abstractThe use of ontologies has increased rapidly over the past decade and they now provide a key component of most major databases in biology and biomedicine. Consequently, datamining over these databases benefits from considering the specific structure and content of ontologies, and several methods have been developed to use ontologies in datamining applications. Here, we discuss the principles of ontology structure, and datamining methods that rely on ontologies. The impact of these methods in the biological and biomedical sciences has been profound and is likely to increase as more datasets are becoming available using common, shared ontologies.
dc.publisherSpringer Nature
dc.relation.urlhttps://link.springer.com/protocol/10.1007%2F978-1-4939-3572-7_19
dc.rightsArchived with thanks to Springer New York
dc.titleDatamining with Ontologies
dc.typeBook Chapter
dc.typeProtocol
dc.contributor.departmentBio-Ontology Research Group (BORG)
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Computer Science, Aberystwyth University, Llandinam Building, Aberystwyth, SY23 3DB, UK.
dc.contributor.institutionDepartment of Physiology, Development & Neuroscience, University of Cambridge, Downing Street, Cambridge, CB2 3EG, UK.
dc.identifier.volume1415
dc.identifier.pages385-397
kaust.personHoehndorf, Robert
dc.identifier.eid2-s2.0-84984979145


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