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DY: Fachverband Dynamik und Statistische Physik

DY 7: Poster I

DY 7.13: Poster

Monday, March 11, 2013, 17:30–19:30, Poster C

Inferring topology of biological networks from dynamics — •Haleh Ebadi and Konstantin Klemm — Bioinformatics Group, Institute or Computer Science, Leipzig University, Germany

An observation of a state transition provides partial information on the interactions constituting a high-dimensional deterministic system. Here we strive to quantify how the number of observed single state transitions and/or short trajectories reduces the number of interaction matrices consistent with the set of observations. As a test-bed, we use several established Boolean (threshold unit) models of cell cycle control in living organisms. The numerical study also uses ensembles of randomly reshuffled matrices as a null model. We find that the ability to reconstruct networks from measurements strongly depends on the types of threshold functions assumed by the underlying model.