An application for parameterization of biological models available in SBML and BNGL formats. Features include parallelization, metaheuristic optimization algorithms, and an adaptive Markov chain Monte Carlo (MCMC) sampling algorithm.
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Add a feature that reports the percentage of instances that a constraint is satisfied #324
Using the adaptive MCMC method, end users currently need to write custom code to sample from a parametric posterior and identify the number of instances (i.e., parameter sets) for which a constraint in a given .prop file is satisfied. Adding this feature would easen the workflow for end users.
Using the adaptive MCMC method, end users currently need to write custom code to sample from a parametric posterior and identify the number of instances (i.e., parameter sets) for which a constraint in a given .prop file is satisfied. Adding this feature would easen the workflow for end users.