2008
DOI: 10.1016/j.jtbi.2008.04.011
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A methodology for performing global uncertainty and sensitivity analysis in systems biology

Abstract: Accuracy of results from mathematical and computer models of biological systems is often complicated by the presence of uncertainties in experimental data that are used to estimate parameter values. Current mathematical modeling approaches typically use either single-parameter or local sensitivity analyses. However, these methods do not accurately assess uncertainty and sensitivity in the system as, by default they hold all other parameters fixed at baseline values. Using techniques described within we demonst… Show more

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Cited by 2,272 publications
(2,014 citation statements)
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References 59 publications
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“…PRCC analysis is a sensitivity analysis method that calculates the partial rank correlation coefficient for the model inputs (sampled by Latin hypercube sampling method) and outputs [11,38,53,54]. The PRCC method assumes a monotonic relationship between the model input parameters and the model outputs.…”
Section: Partial Rank Correlation Coefficient (Prcc) Analysismentioning
confidence: 99%
See 2 more Smart Citations
“…PRCC analysis is a sensitivity analysis method that calculates the partial rank correlation coefficient for the model inputs (sampled by Latin hypercube sampling method) and outputs [11,38,53,54]. The PRCC method assumes a monotonic relationship between the model input parameters and the model outputs.…”
Section: Partial Rank Correlation Coefficient (Prcc) Analysismentioning
confidence: 99%
“…The magnitude of the PRCC sensitivity measures the importance of the model input in contributing to the model output [38]. Details about the PRCC method were described in previous publications [11,38,54].…”
Section: Partial Rank Correlation Coefficient (Prcc) Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Uniquely, this approach demonstrates that inputs into SA need not be simulation parameters, but may be emergent properties within the simulation. Separately, SA techniques were also used by Ray et al 59. to explore a key component of Mycobacterium tuberculosis infection: granuloma formation.…”
Section: Case Study: Probing the Efficacy Of Two Putative Treatment Smentioning
confidence: 99%
“…Latin Hypercube Sampling was employed to efficiently sample parameter space, and partial rank correlation coefficients were calculated to determine how parametric variation correlated with changes in simulation behavior 59. The analyses lead to a number of insights into the system.…”
Section: Case Study: Probing the Efficacy Of Two Putative Treatment Smentioning
confidence: 99%