Instytut Podstawowych Problemów Techniki
Polskiej Akademii Nauk


Juliane Liepe

Imperial College London (GB)

Ostatnie publikacje
1.  Liepe J., Filippi S., Komorowski M., Stumpf M.P.H., Maximising the information content of experiments in systems biology, PLOS COMPUTATIONAL BIOLOGY, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1002888, Vol.9, No.1, pp.e1002888-1-13, 2013

Our understanding of most biological systems is in its infancy. Learning their structure and intricacies is fraught with challenges, and often side-stepped in favour of studying the function of different gene products in isolation from their physiological context. Constructing and inferring global mathematical models from experimental data is, however, central to systems biology. Different experimental setups provide different insights into such systems. Here we show how we can combine concepts from Bayesian inference and information theory in order to identify experiments that maximize the information content of the resulting data. This approach allows us to incorporate preliminary information; it is global and not constrained to some local neighbourhood in parameter space and it readily yields information on parameter robustness and confidence. Here we develop the theoretical framework and apply it to a range of exemplary problems that highlight how we can improve experimental investigations into the structure and dynamics of biological systems and their behavior.

Afiliacje autorów:
Liepe J. - Imperial College London (GB)
Filippi S. - Imperial College London (GB)
Komorowski M. - IPPT PAN
Stumpf M.P.H. - Imperial College London (GB)

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