The combination of human and murine cell lines was important in our model as it permits to determine through QPCR analysis, by designing specific human or mouse primers, which gene expressions are modified in each cell type even when those cell types are cocultured.
One way to address a causal role of oscillations in speech processing is computational modelling, as it permits to directly test the efficiency of cross-coupled theta and gamma oscillations as an instrument of speech de-multiplexing, parsing, and encoding.
The beauty of having an abstract model is that it permits the inclusion of a wide variety of channels.
Moreover, the advantage of our model is that it permits to analytically calculate closed expressions for undetermined quantities such as the clearance rate.
Both these styles of analysis seek causal structuring and control for potentially confounded variables, but structural equation modeling is superior because it permits adjustment for measurement error, provides a test of the model, and produces diagnostics relevant to model reassessment.
The germline is a unique model system in that it permits the study of Kinesin in a living cell in which several cargos are known and easily detectable, and the assessment of the developmental impact of modifying Kinesin function.
Incorporation of random effects using NLME in mechanism-based PK/PD models is important because it permits prediction of not only the expected outcome but also the variability and uncertainty regarding that outcome.
The Rasch model has been adopted since it permits that data collected may be compared to an expected model and allows testing other important scale features, such as reversed response thresholds and differential item functioning.
As DLs induce the representation of uncertain information when it is the case that (mathcal {K} not models A(a)) and (mathcal {K} not models neg A(a)), a similarity relation (instead of an equivalence relation) may be more adequate to model relationships between individuals, because it permits grouping of individuals that are close, but not necessarily indiscernible.
In particular, it permits Bayesian model selection, or to gain some insights on how well an estimate generalizes to new data, and therefore qualifies perfectly for the purpose of comparing different downstream methods for summarizing the posterior samples.
