The curse of dimensionality: a blessing to personalized medicine

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dc.contributor.author Catchpoole, Daniel en_US
dc.contributor.author Kennedy, Paul en_US
dc.contributor.author Skillicorn, David en_US
dc.contributor.author Simoff, Simeon en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-10T06:09:35Z
dc.date.available 2012-02-10T06:09:35Z
dc.date.issued 2010 en_US
dc.identifier 2010001545 en_US
dc.identifier.citation Catchpoole Daniel et al. 2010, 'The curse of dimensionality: a blessing to personalized medicine', American Society of Clinical Oncology, vol. 28, no. 34, pp. e723-e724. en_US
dc.identifier.issn 0732-183X en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/17068
dc.description.abstract We wish to provide an alternative consideration to the recommendations raised in the editorial by Sikic et al1 in Journal of Clinical Oncology relating to the study by Bhojwani et al.2 The study reports gene expression profiles that predict early response and long-term outcome in children with acute lymphoblastic leukemia. Bhojwani et al identified 41 genes out of a 38,500-gene expression data set that were predictive of long-term patient outcome treated on a single protocol and a 24-gene set predictive of early therapeutic response. Of most significance to the field however, was their conclusion that gene expression signatures provide no greater prognostic value compared with current factors such as patient age, WBC count, or karyotype en_US
dc.language en_US
dc.publisher American Society of Clinical Oncology en_US
dc.relation.isbasedon http://dx.doi.org/10.1200/JCO.2010.30.1986 en_US
dc.title The curse of dimensionality: a blessing to personalized medicine en_US
dc.parent Journal of Clinical Oncology en_US
dc.journal.volume 28 en_US
dc.journal.number 34 en_US
dc.publocation Alexandria, USA en_US
dc.identifier.startpage e723 en_US
dc.identifier.endpage e724 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 111202 en_US
dc.personcode 996701 en_US
dc.personcode 990679 en_US
dc.personcode 0000016944 en_US
dc.personcode 000716 en_US
dc.percentage 100 en_US
dc.classification.name Cancer Diagnosis en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords NA en_US
dc.staffid 000716 en_US


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