Sentence examples for models enable us from inspiring English sources
These models enable us to use more powerful parametric statistical techniques for both estimating isoform and processing event frequencies and detecting DP genes between samples.
Despite the widespread use of in vitro systems that allow recapitulating almost all the processes involved in the development of a disease, only the use of animal models enable us to reproduce onset mechanisms of human disease, thereby providing the only system known today to test new drugs for therapeutic interventions.
These models enable us to exploit a different form of visual context, based on the co-occurrence analysis of patches in the whole image rather than on the more traditional spatial relationships.
A key point is that these models enable us to examine confounding by family (pair) level influences.
Sensitivity analyses of computational models enable us to identify the effects of uncertainties in parameter values on the model output.
Multilevel models enable us to simultaneously estimate the impact of both individual- and area-level explanatory variables on the total variation in individual outcomes while accounting for the clustering of observations within the same geographical location.
The use of ARIMA models enables us to create short-term predictions of injury mortality in China.
The use of preclinical models enabled us to study the outcome of bevacizumab in combination with chemotherapy on EOC progression (first end point) and survival (second end point).
Data were analyzed using linear mixed models enabling us to display the effects of both the considered explanatory variables and their interactions.
Such models enabled us to address the electrical properties in a wider range of potential reservoir rocks through theoretical parameters related to key reservoir-defining petrophysical properties.
Using the best parameter sets deduced with our ODE models, multiple simulations for each of the one and two-population models enabled us to estimate confidence intervals of predictions (shaded areas of Figure 5).
