Identiability analysis For the comprehensive analysis of modeling results it is necessary to know how reliable the parameter estimates are
In practice insu64259cient or noisy data as well as the strong parameter correlation or even their functional relation may prevent the unambiguous determination of parameter values In addition many models used in systems biology exhibit parameter sl
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