Speakers
Description
Every year new experimental technologies in cell biology continue to generate more data about the cellular responses to different conditions and in different environments. As sophisticated as these data are, they still provide only partial snapshots of a behavior of a living cell in their natural environment.
For the data to yield understanding and, ultimately, control of cellular processes in the context of medical interventions, the data need to be interpreted by mathematical models.
Intracellular interactions of chemical species are represented by directed signed networks. Boolean models are used to model network dynamics when the first principle stochastic or ODE models are too under-parameterized or too large to analyze.
In this session we gather the leading experts in Boolean models spanning the range from practical applications to theoretical analysis of their behavior
