[Statlist] Next talk: Tuesday, April 02, 2013 ( HG G 19.2) with Joris M. Mooij, Radboud University Nijmegen

[Cecilia Rey]

RESEARCH SEMINAR  at ETH Zurich HG G 19.2


Organisers:
Proffs. P. Bühlmann - L. Held - H.R. Kuensch - M. Maathuis - S. van de Geer - M. Wolf 

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We are glad to announce the following talk

Tuesday, April 02, 2013 -  15.15h  ETH Zurich HG G 19.2
with Joris M. Mooij, Radboud University Nijmegen

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Title:
Cyclic Causal Discovery from Equilibrium Data

Abstract:
Causal feedback loops play important roles in many biological systems. In the 
absence of time series data, inferring the structure of cyclic causal systems 
can be extremely challenging. An example of such a biological system is a 
cellular signalling network that plays an important role in human immune system 
cells (Sachs et al., Science 2005), consisting of several interacting proteins 
and phospholipids. The protein concentration data measured by Sachs et al. 
utilizing flow cytometry has been analyzed by different researchers in order to 
evaluate various causal inference methods. Most of these methods only consider 
acyclic causal structures, even though the data shows strong evidence that 
feedback loops are present. In this talk I will propose a new method for cyclic 
causal discovery from a combination of observational and interventional 
equilibrium data. I will show that the method indeed finds evidence for feedback 
loops in the flow cytometry data and that it gives a more accurate quantitative 
description of the data at comparable model complexity. 

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This abstract is also to be found under the following link: http://stat.ethz.ch/talks/research_seminar

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