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Global sensitivity analysis, on the other hand, tries to capture the entire parameter space all at once, allowing multiple parameter values to be explored simultaneously.
Due to the high number of kinetic parameters compared to little experimental data, model fitting can yield multiple parameter values that can describe the data equally well.
Furthermore, in many cases the model structure is such that the inverse problem of parameter fitting is ill-posed due to multiple parameter values producing the same model output.
Robust differentiation into more than two cell types would be difficult, since to maintain a population ratio of all the cell types, multiple parameter values to control the magnitudes of the noise and gene expression dynamics have to be finely tuned.
If the IV is weak (i.e., it explains a small proportion of the variance of the exposure in the data set), the causal effect may not be uniquely identified, and the estimating equations may not be satisfied for any parameter value, or they may be satisfied for multiple parameter values.
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12S, 16S, and tRNA sequences were initially aligned with Clustal X [ 17] assuming the default pairwise and multiple alignment parameter values.
The model of a particular system of biochemical reactions is usually represented by a system of mechanistic differential equations and includes multiple parameters which values must be estimated on the basis of experimental data.
The identifiability problem means that there could be multiple sets of parameter values for which the model fits the data equally well.
First, it is possible to have multiple sets of parameter values that are equally likely to produce the observed data and finding the "best" parameter set might be insufficient to fully characterize a biological system if such a parameter set is not the only set with biological relevance [ 15].
For example, running Parameter Sweep Experiments (PSE) involve processing many independent jobs, given by multiple initial configurations (input parameter values) against the same program code.
Parametric optimization of the FE model can be used to reduce the vibroacoustic feedback in a device during the design phase; however, it requires solving the model iteratively for multiple frequencies at different parameter values, which becomes highly time consuming when the system is large.
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multiple data values
multiple parameter configurations
multiple parameter vectors
multiple r2 values
multiple land values
multiple parameter changes
multiple metabolite values
multiple parameter choices
multiple parameter distributions
multiple parameter cases
multiple parameter comparisons
multiple x values
multiple parameter combinations
multiple property values
multiple parameter allocations
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