Sentence examples for more thorough modeling from inspiring English sources

Despite the limitations, the current study is a step toward more thorough modeling of treatment for patients with bone metastases.

Even with such precautionary measures, more thorough modeling of the uncertainty may yield lower posterior probabilities of gene gene influences than those of Equation (14): The linearity between the transcript abundance and the microarray intensity becomes a less adequate approximation at high-mRNA copy numbers, as the fluorescence becomes saturated (K. V. Velden, personal communication).

As shown in the table, reducing epsilon (i.e., enabling more thorough model development) leads to major increase of predictive ability, whereas the influence of cost (penalizing large errors) is rather small at any epsilon level.

A more thorough modelling approach that incorporates each of these processes, in isolation and in combination, will then help to resolve this issue, and inform future experiments.

We also plan to conduct more thorough simulation study for evaluating performance of our simulation-based estimation method in complicated model selection and model averaging situation.

The use of an improved optimisation approach based on MCMC and Bayesian techniques provided increased confidence than in previous analyses that the best fitting model was obtained, as well as allowed a more thorough assessment of model adequacy and model parameters to be made.

In the future, integration networks using different types of 'omic' data will be combined to allow more thorough and comprehensive modeling of complex traits [ 14].

Despite limitations, the current study is a step toward more thorough and accurate modeling of treatment for patients with CKD and SHPT.

For a more thorough discussion of IF models and the challenges of analysing non-smooth dynamical systems we refer the reader to [58].

Please provide a more thorough description of the model.

On selecting a model, the user arrives at a model-specific control panel through which they can select from a number of default parameter sets (representing biologically important behaviours) or select new parameters to examine potentially new phenomena, allowing for a more thorough investigation of the model than may have been afforded by its original publication.