BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Alvaro Köhn-Luque (University of Oslo) DTSTART:20250430T090000Z DTEND:20250430T094500Z DTSTAMP:20260422T161047Z UID:gbgstats/80 DESCRIPTION:Title: Phenotypic deconvolution of cancer cell populations\nby Alvaro Köhn -Luque (University of Oslo) as part of Gothenburg statistics seminar\n\nLe cture held in MVL15.\n\nAbstract\nTumor heterogeneity is an important driv er of treatment failure in cancer\, as therapies often select for drug-tol erant or drug-resistant cellular subpopulations that drive tumor growth an d recurrence. Profiling the drug-response heterogeneity of tumor samples u sing traditional genomic deconvolution methods has yielded limited results \, due in part to the imperfect mapping between genomic variation and func tional characteristics. In this seminar\, I will demonstrate how to levera ge mechanistic population modeling to develop a statistical framework for profiling phenotypic heterogeneity from standard drug-screen data on bulk tumor samples. This approach allows us to reliably identify tumor subpopul ations exhibiting differential drug responses and estimate their drug sens itivities and frequencies within the bulk population. I will discuss the a dvantages and disadvantages of using deterministic versus stochastic birth -death population models. These methods are applied to synthetically gener ated cell populations\, mixed cell-line in vitro experiments\, and multipl e myeloma patient samples.\n LOCATION:https://researchseminars.org/talk/gbgstats/80/ END:VEVENT END:VCALENDAR