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Stochastic system identification without an a priori chosen kinetic model—exploring feasible cell regulation with piecewise linear functions
Kinetic models are at the heart of system identification. A priori chosen rate functions may, however, be unfitting or too restrictive for complex or previously unanticipated regulation. We applied general purpose piecewise linear functions for stochastic system identification in one dimension using...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895840/ https://www.ncbi.nlm.nih.gov/pubmed/29675268 http://dx.doi.org/10.1038/s41540-018-0049-0 |