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In Appendix A, guidelines are given on how to chose parameters when using RBF-FD to solve hyperbolic PDEs.
We chose parameters which had a significance level of p < 0.15 on initial univariate analysis as covariates [20].
In this calculation, we chose parameters controlling the conditions of heterogeneities, that is, the correlation distance a and fractional fluctuation ε, to account for the observed B values.
These authors then chose parameters that allowed the model to describe the tryptophan operon of E. coli.
We chose parameters in the model by using backward stepwise regression with a significance cut-off of 0.05.
The reason that increasing k69 has no effect is that we chose parameters so that under normal conditions proteasomes are working well below their maximum capacity.
We chose parameters based on their known effects on cellular fitness or longevity (e.g., calorie restriction) or on global metabolism (growth t°).
We employed the maxgap/minrun algorithm [ 29, 30], and, as discussed in a later section, chose parameters affecting this algorithm by optimizing against the gold standard set.
We then chose parameters in which our models exhibited similar initial and final f-I curves to those of the experimental pyramidal cells.
We chose parameters for both the methods to achieve optimal performance in the cross-validations and ensure fair comparison, but different parameter values only slightly affect the results.
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For ASAP analyses, we chose parameter values similar to those used for the oPOSSUM analyses.
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