Exploring multimodal behaviour


In this project we develop novel modeling and simulation methods for discrete-space biological models that exhibit multimodal behaviour. Such models exhibit a countable finite number of modes. These are regions of the state space in which the process spends most of its time. Such models play central roles in probabilistic decisions found in cellular processes. These decisions can explain the phenotypic variability found even in monoclonal cells. The analysis of such models entails several interesting tasks:

  • The location and relative strength of the modes
  • A model decomposition along the system modes
  • Reconstruction of the mode-conditioned distributions

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Deutsche Forschungsgesellschaft (DFG)