FAMoS: A Flexible and dynamic Algorithm for Model Selection to analyse complex systems dynamics
Fig 1
Challenges regarding the identification of the interaction between different components of a biological system.
(A) Time-resolved measurements for the concentrations of different biological components and factors lead to the question on their dynamical interactions. Out of a global model considering all possible interactions and processes for the different factors within the system (B) one needs to identify the (sub-)model that best explains the experimental data (C). FAMoS provides a computational method that uses a sophisticated way to search the total model space for the most appropriate (sub-)model.