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In comparing the simulation to data, we treat integration as beginning after a 200 msec propagation delay, so that the simulated processing interval corresponds to the period from 200 to 700 msec post stimulus onset approximately.
These range from network reconstruction, data visualization, integration of various data types, network simulation to data exploration combined with a manifold support of systems biology standards for visualization and data exchange.
Based on the previously described functionalities it comprises a comprehensive set of tasks ranging from network reconstruction, data visualization, integration of various data types, network simulation to data exploration combined with a manifold support of systems biology standards for visualization and data exchange.
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The stochastic inverse model allows identifying non-Gaussian parameters and reducing uncertainty in heterogeneous aquifers by constraining stochastic simulations to data.
However, the elements of and S cannot be estimated by comparing model simulations to data, as the generated state trajectories are different for each simulation of the SDE model.
In this study, we compare the results of such simulations to data in order to discover whether or not the data is sufficiently accurate as to exhibit the signature of a simple stochastic process.
In this section we explicitly consider the effects of different choices for the molecule-to-fluorescence rescaling ratio m by comparing simulations to data at differing values of this parameter.
The model is validated by comparing its small- and large-signal simulation to measured data.
Instead, it uses a probabilistic simulation model to generate data sets to compare with the empirical data.
4– 11 We suggest a haplotype simulation to produce haplotype data with predefined allele frequencies with coalescent property.
In our view, this hinders progress in linking model simulations to empirical data (and vice versa).
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