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DTSTART:20200329T030000
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DTSTART:20191027T020000
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DTSTAMP:20260405T191514Z
UID:5de5018c8f53f101692144@ist.ac.at
DTSTART:20191211T150000
DTEND:20191211T160000
DESCRIPTION:Speaker: Ski Krieger\nhosted by Gasper Tkacik\nAbstract: Empiri
 cal-dynamical techniques are a novel class of non-parametric methods for c
 ausal inference\, stability assessment\, and forecasting based on exciting
  results in the theory of dynamical systems. These methods may promise hug
 e advancement in our understanding of large biological systems (as found i
 n ecology\, immunology\, genetic regulatory networks and beyond)\, where d
 esigning explicit models and fitting them to observational data is nigh im
 possible. In particular\, the ability to infer networks of interactions in
  these systems is extremely promising\, as it drastically reduces the over
 all dimension of the system under consideration. Here I will discuss some 
 results arising from the application of these techniques to immunological 
 time series\, consisting of measurements of roughly 70 signalling proteins
  taken from multiple patients with a rare blood disease (cyclic thrombocyt
 openia\, or CTP) over several week. Empirical-dynamical techniques here ac
 tually reveal distinct subclasses of this disease that were previously unk
 nown\, as well as offering novel therapeutic targets. Time permitting\, I 
 will also discuss applications of these techniques to gene-regulatory data
  from dermal cells in an effort to uncover upstream dysfunctionalities tha
 t lead to markers of disease and symptoms of aging in skin.
LOCATION:Mondi Seminar Room 3\, Central Building\, ISTA
ORGANIZER:abonvent@ist.ac.at
SUMMARY:Ski Krieger: Leveraging empirical dynamics to discover new regulato
 ry networks
URL:https://talks-calendar.ista.ac.at/events/2435
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