BEGIN:VCALENDAR
PRODID:-//AT Content Types//AT Event//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20091203T150000Z
DTEND:20091203T163000Z
DCREATED:20091130T134517Z
UID:ATEvent-7b8d6ef6b121b469fa7b274289cb8fa9
SEQUENCE:0
LAST-MODIFIED:20100122T142201Z
SUMMARY:03.12.2009 Jens Timmer "Identifiability Analysis and Experimental Design for Dynamical Models in Systems Biology"
DESCRIPTION:Mathematical models of the dynamics of cellular processes 
 promise to yield new insights into the underlying biology and their sy
 stems' \nproperties. Since the processes are usually high-dimensional 
 and time-resolved experimental data of the processes are sparse\, para
 meter estimation faces the challenges of structural and practical non-
 identifiability of the parameters. Non-identifiability induces non-obs
 ervability. Non-observability reduces the predictive power of the mode
 ls. We will discuss a new approach that allows for identifiability and
  observability analysis. We demonstrate how identifiability analysis c
 ombined with observability analysis supports the iterative cycle betwe
 en modelling and experimentation in systems biology.
LOCATION:ZBSA UG
PRIORITY:3
TRANSP:0
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END:VCALENDAR