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UID:DSC-9685
DTSTART;TZID=Europe/Berlin:20150724T140000
SEQUENCE:1437810214
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20150724T150000
URL:https://www.dresden-science-calendar.de/calendar/de/detail/9685
LOCATION:MPI-CBG\, Pfotenhauerstraße 10801307 Dresden
SUMMARY:Koeppl: “Statistical inference of cellular behaviour from heterog
 eneous single-cell data\"
CLASS:PUBLIC
DESCRIPTION:Speaker: Heinz Koeppl\nInstitute of Speaker: TU Darmstadt\nTopi
 cs:\nBiologie\n Location:\n  Name: MPI-CBG (Auditorium (small half))\n  St
 reet: Pfotenhauerstraße 108\n  City: 01307 Dresden\n  Phone: +49 351 210-
 0\n  Fax: +49 351 210-2000\nDescription: Modeling and inferring stochastic
  biomolecular processes based on single-cell data requires an extension of
  the traditional Markov chain description to account for the random molecu
 lar environment into which the process of interest is embedded. In particu
 lar\, we seek an isolated process model that behaves as if the process was
  still embedded into the molecular environment. Based on that novel proces
 s model we develop a Bayesian inference framework that resorts to traditio
 nal MCMC schemes in combination with sequential Monte Carlo techniques. We
  apply the framework to live-cell imaging data of a inducible gene express
 ion system in budding yeast and show that it allows to separate intrinsic 
 from extrinsic noise components from single measurements without the need 
 for dedicated dual-color constructs.
DTSTAMP:20260707T042021Z
CREATED:20150707T075630Z
LAST-MODIFIED:20150725T074334Z
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