WP6 will develop cross-project, general methodology for the mathematical modelling of the two biological systems studied in this network, based on the data measured in WPs 1 (cell division) and 2 (cell migration). Our modelling integrates data-driven (such as statistical regression and machine learning) and first-principles (physics and chemistry) approaches. Time is an essential dimension in processes of cell division and migration, and to perform time-dependent dynamical modelling we will use two levels of resolution: ordinary differential equations on the population level and stochastic processes on the individual cell level. Spatial dimensions will also be taken into account. Our modelling will proceed from two starting points: data-driven (directly relating to observed phenomena) and molecular (based on first principles from physics and biochemistry), with the goal of bringing them together. Our mathematical models will be time-dependent and take the forms of, ordinary differential equations on the population level and stochastic processes on the individual cell level. Spatial dependence will also be taken into account as appropriate. We will closely interact with WPs 1-5, and our modelling requirements will guide experimental designs and statistical analysis in a 'systems biology loop' and contribute to predictions that can be explored for translational research in WP7. An important part of the output of this WP will be in the form of systems biological modelling software that has been useful for several of the applications in this network, and thus will likely be useful for the systems biology community in general.
Wolfgang Huber (WP leader)