Steady-state parameter sensitivity in stochastic modeling via trajectory reweighting.

@article{Warren2012SteadystatePS,
  title={Steady-state parameter sensitivity in stochastic modeling via trajectory reweighting.},
  author={Patrick B. Warren and Rosalind J. Allen},
  journal={The Journal of chemical physics},
  year={2012},
  volume={136 10},
  pages={104106}
}
Parameter sensitivity analysis is a powerful tool in the building and analysis of biochemical network models. For stochastic simulations, parameter sensitivity analysis can be computationally expensive, requiring multiple simulations for perturbed values of the parameters. Here, we use trajectory reweighting to derive a method for computing sensitivity coefficients in stochastic simulations without explicitly perturbing the parameter values, avoiding the need for repeated simulations. The… CONTINUE READING
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