Mathematical models are crucial to build and predict the behaviour of new biological systems. However, selecting between plausible model candidates or estimate parameters is an arduous job, especially considering the different informative content of experiments. BOMBs.jl is a package to automate model simulations, pseudo-data generation, maximum likelihood estimation and Bayesian inference of parameters (Stan and Turing.jl), and design optimal experiments for model selection and inference.
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