Seminar: Bayesian Molecular LEGO

SpeakerRobert Stojnic
AffiliationCambridge Systems Biology Centre
DateFriday, 07 Mar 2014
Time13:00 - 14:00
LocationMalet Place Engineering 1.03
Event seriesMicrosoft Research CSML Seminar Series

The assembly of cellular components has been traditionally modelled using differential equations. In this work I will present a new formalism that yields a model similar to Bayesian Networks where every node represents one molecule. The intuition behind the model can be captured with an analogy to LEGO building blocks where blocks (=molecules) are successively added to create the final molecular structure. I will show that the structure can be reverse-engineered from measurements of molecular abundance under perturbation. I will discuss the Bayesian approach to structure inference, and derive an efficient maximum a-posteriori inference scheme with uniform priors. I will discuss how the choice of prior has crucial influence on the success of inference.

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