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dc.contributor.authorLund, Eiliv
dc.contributor.authorHolden, Marit
dc.contributor.authorThalabard, Jean-Christophe
dc.contributor.authorRasmussen Busund, Lill-Tove
dc.contributor.authorSnapkov, Igor
dc.contributor.authorHolden, Lars
dc.date.accessioned2021-03-03T17:02:15Z
dc.date.available2021-03-03T17:02:15Z
dc.date.created2021-01-15T13:50:35Z
dc.date.issued2020
dc.identifier.isbn978-82-15-04119-3
dc.identifier.urihttps://hdl.handle.net/11250/2731525
dc.description.abstractUsing the time-dependent dynamics of gene expression from immune cells in blood, we aimed to explore single gene expression trajectories as biomarkers for death after a diagnosis of breast cancer introducing a new statistical method denoted Difference in Time Development Statistics (DTDS). This shows as proof of principle that the gene expression profiles from immune cells in blood differed in the postdiagnostic period are dependent on later vital status.
dc.language.isoengen_US
dc.relation.ispartofAdvancing Systems Epidemiology in Cancer - Exploring Trajectories of Gene Expression
dc.rightsNavngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/deed.no*
dc.titleSignals of Death - Post-Diagnostic Single Gene Expression Trajectories in Breast Cancer - A Proof of Concepten_US
dc.typeChapteren_US
dc.description.versionpublishedVersion
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1872149
dc.source.pagenumber141-162en_US
dc.relation.projectERC-European Research Council: ERC-AdG 232997 TICE


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Navngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal
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