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UID:2f7af888281213ed20cc4a0924275d77
DTSTAMP:20260525T113504Z
SUMMARY:Comparing models with data using computational algebra
DESCRIPTION:In this talk I will discuss how computational algebraic geometr
 y and topology can be useful for studying questions arising in systems bio
 logy. In particular I will focus on the problem of comparing models and da
 ta through the lens of computational algebraic geometry and statistics. I 
 will provide concrete examples of biological signalling systems that are b
 etter understood with the developed methods.\n \nDr Heather Harrington is
  a Royal Society University Research Fellow in Applied Mathematics at the 
 University of Oxford. Her research focuses on the problem of reconciling 
 models and data by extracting information about the structure of models an
 d the shape of data. To develop these methods\, Dr Harrington integrates t
 echniques from a variety of disciplines such as computational algebraic ge
 ometry and topology\, statistics\, optimisation\, network theory\, linear 
 algebra\, and dynamical systems.
URL:https://www.imperial.ac.uk/events/98367/comparing-models-with-data-usin
 g-computational-algebra/
DTSTART;TZID=Europe/London:20180703T130000
DTEND;TZID=Europe/London:20180703T140000
LOCATION:United Kingdom
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DTSTART:20180703T130000
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