Bring-Your-Own-Single-Cell-Data Hackathon on Mechanistic Modelling
Single-cell (SC) data are massively enriching our view of dynamic cellular systems, yet most analyses remain descriptive. This workshop introduces ordinary differential-equation (ODE) modelling as a quantitative extension of SC studies. Participants will learn to integrate cell-state frequency trajectories into mechanistic models using the open-source R packages. Guided practicals will cover data integration, parameter estimation, identifiability analysis and visualisation of results. The programme combines brief theory capsules with extended hacking sessions, enabling each participant to generate preliminary kinetic parameters – either for their own dataset or for benchmark data supplied by the organisers. The course builds on a published conceptual framework: https://www.nature.com/articles/s41540-024-00395-9
The activity is organised by the Department of International Affairs at the University of Hamburg and the Center for Biomedical AI at the University Medical Center Hamburg-Eppendorf, with funding from the German Federal Ministry of Research, Technology and Space. Travel and accomodation costs will be covered for participants from EUGLOH member universites.
Who can participate? Natural/ Life science PhD students & postdocs with advanced R and single-cell analysis experience, enrolled at one of the nine EUGLOH member universities or affiliated partner institutions (at own costs).
How to apply? Please refer to the attached PDF document at the bottom of this page for details and register via "Jetzt anmelden".
