Prof. Dr. Heike Siebert

Head of CH5 Model classification under uncertainties for cellular signaling networks

Institut für Mathematik, FU Berlin
Arnimallee 7
14195 Berlin
+49 (0) 30 838 75862
siebert@mi.fu-berlin.de
Website


Projects as a project leader

  • A-CH5

    Model classification under uncertainties for cellular signaling networks

    Prof. Dr. Alexander Bockmayr / Prof. Dr. Susanna Röblitz / Prof. Dr. Heike Siebert

    Project heads: Prof. Dr. Alexander Bockmayr / Prof. Dr. Susanna Röblitz / Prof. Dr. Heike Siebert
    Project members: Stefanie Kasielke / Adam Streck
    Duration: 01.06.2014 - 31.05.2017
    Status: running
    Located at: Freie Universität Berlin / Konrad-Zuse-Zentrum für Informationstechnik Berlin

    Description

    Mathematical modelling in biological and medical applications is almost always faced with the problem of incomplete and noisy data. Rather than adding unsupported assumptions to obtain a unique model, a different approach generates a pool of models in agreement with all available observations. Analysis and classification of such models allow linking the constraints imposed by the data to essential model characteristics and showcase different implementations of key mechanisms. Within the project, we aim at combining the advantages of logical and continuous modeling to arrive at a comprehensive system analysis under data uncertainty. Model classification will integrate qualitative aspects such as characteristics of the network topology with more quantitative information extracted from clustering of joint parameter distributions derived from Bayesian approaches. The theory development is accompanied by and tested in application to oncogenic signaling networks.

    http://www.mi.fu-berlin.de/en/math/groups/dibimath/projects/A-CH5/index.html