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dc.contributor.authorOchs, Michael F.
dc.contributor.authorCasagrande, John T.
dc.date.accessioned2018-05-12T16:38:01Z
dc.date.available2018-05-12T16:38:01Z
dc.date.issued2008
dc.identifier.citationOchs, M. F., & Casagrande, J. T. (2008). Information Systems for Cancer Research. Cancer Investigation, 26(10), 1060-1067.en_US
dc.identifier.urihttps://dx.doi.org/10.1080/07357900802272729
dc.descriptionFile not available for download due to copyright restrictionsen_US
dc.description.abstractThe last decade has seen a massive growth in data for cancer research, with high-throughput technologies joining clinical trials as major drivers of informatics needs. These data provide opportunities for developing new cancer treatments but also major challenges for informatics, and we summarize the systems needed and potential issues arising in addressing these challenges. Integrating these data into the research enterprise will require investments in 1) data capture and management, 2) data analysis, 3) data integration standards, 4) visualization tools, and 5) methods for integration with other enterprise systems.en_US
dc.language.isoen_USen_US
dc.publisherTaylor & Francisen_US
dc.subjectMedical Informaticsen_US
dc.subjectComputational Biologyen_US
dc.subjectClinical Trialen_US
dc.subjectSystems Biologyen_US
dc.subjectVocabularyen_US
dc.titleInformation Systems for Cancer Researchen_US
dc.typeArticleen_US
dc.typeTexten_US
prism.publicationNameCancer Investigation
prism.volume26
prism.issueIdentifier10
prism.publicationDate2008
prism.startingPage1060
prism.endingPage1067
dc.identifier.handlehttps://dr.tcnj.edu/handle/2900/2413


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