Molecular Networks

The processes inside cells are controlled by dynamical systems that can be — with some caveats — described by molecular interaction networks. The mathematical descriptions of such networks, their analysis and statistical inference can help with the development of mathematical models of biological systems, but also offer more direct insights into the organisation of e.g. gene regulation networks underlying developmental processes.

Representative Publications

  1. Parametric and Non-Parametric Gradient Matching for Network Inference: A Comparison →
    Dony, L., He, F., & Stumpf, M.P.H. (2019). BMC Bioinformatics, 20(1), 799.

  2. Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures →
    Chan, T.E., Stumpf, M.P.H., & Babtie, A.C. (2017). Cell Systems, 5(3), 251–267.e3.

  3. Estimating the Size of the Human Interactome →
    Stumpf, M.P.H., Thorne, T. W., de Silva, E., Stewart, R., An, H.J., et al. (2008). Proceedings of the National Academy of Sciences of the United States of America, 105(19), 6959–6964.

ScienceSites