Exact(4)
The low number of invalidation decisions made for the true model relate to the high specificity of our approach.
In Table 4 we report the number of invalidation decisions made for the two models and Figure 11 show the kinetic model and SPCA predictions on this dataset.
By using our SPCA-based invalidation approach, we could investigate how the invalidation decisions changed for the simplified model with respect to the value of the Michaelis constant.
(7) MRN = ∑ i = 1 n ∑ j = 1 m | x ij m - x ij | x ij m n × m n = # time points m = # metabolites Tables 1 and 2 show all the invalidation decisions made in the simulations study.
Similar(56)
The patent office's re-examination team issued its invalidation decision on patent 7,469,381.
The numbers show in how many of the 100 different noise realizations, invalidation decision could not be made for the simplified model, ODE S. Lack of invalidation decision showed the validity of the model simplification.
This would mean that the models are in their simplest acceptable form one step before the invalidation decision.
The numbers show in how many of the 100 different noise realizations an invalidation decision was made for the models being questioned by using forecast analysis.
However, the predictions by the ODE T got also worse, resulting in an incorrect invalidation decision in 17% of the realizations.
The numbers show in how many of the 100 different noise realizations an invalidation decision was made for the models being questioned by using cross validation.
Mean Relative Noise at each noise level is given as the mean of the MRN values in 100 different realizations of the data, calculated based on Equation 7. The numbers show in how many of the 100 different noise realizations an invalidation decision was made for the models being questioned by using forecast analysis.
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