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.
Although we already have unit tests, new updates have the potential to create errors at a higher level than the unit tests check. In this update we add a set of test problems and an automated script to run them, which cover most features of PyBNF. This script should be run in addition to unit tests to validate new updates.
Although we already have unit tests, new updates have the potential to create errors at a higher level than the unit tests check. In this update we add a set of test problems and an automated script to run them, which cover most features of PyBNF. This script should be run in addition to unit tests to validate new updates.