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pubmed-article:19038272pubmed:abstractTextTransforming data sets to bring out expected model features can be valuable within limits and misleading outside them. Here we establish such limits for the widely used Gjedde-Patlak representation of dynamic PET data, with an application to hepatic encephalopathy.lld:pubmed
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pubmed-article:19038272pubmed:dateRevised2011-9-26lld:pubmed
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pubmed-article:19038272pubmed:articleTitleBenefits and risks of transforming data from dynamic positron emission tomography, with an application to hepatic encephalopathy.lld:pubmed
pubmed-article:19038272pubmed:affiliationDepartment of Mathematics, University of Queensland, Brisbane, Australia.lld:pubmed
pubmed-article:19038272pubmed:publicationTypeJournal Articlelld:pubmed