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Fitting mathematical models of biochemical pathways to steady state perturbation response data without simulating perturbation experiments
Fitting Ordinary Differential Equation (ODE) models of signal transduction networks (STNs) to experimental data is a challenging problem. Computational parameter fitting algorithms simulate a model many times with different sets of parameter values until the simulated STN behaviour match closely wit...
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| Pubblicato in: | Sci Rep |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6076289/ https://ncbi.nlm.nih.gov/pubmed/30076370 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-30118-0 |
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