Assessing uncertainty in model parameters based on sparse and noisy experimental data
To perform parametric identification of mathematical models of biological events, experimental data are rare to be sufficient to estimate target behaviors produced by complex nonlinear systems. We performed parameter fitting to a cell cycle model with experimental data as an in silico experiment. We...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Frontiers Media S.A.
2014-04-01
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| Серія: | Frontiers in Physiology |
| Предмети: | |
| Онлайн доступ: | http://journal.frontiersin.org/Journal/10.3389/fphys.2014.00128/full |
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