Sentence examples for large scale simulation studies from inspiring English sources

The paper aims at exposing some of the issues encountered, outlining the problems of a city wide deployment, and augmenting our in-field experience with the results from large scale simulation studies.

We performed a large scale simulation study to investigate which methods of analysis performed well across a wide range of scenarios.

For example, Wu et al [ 5] conducted a large scale simulation study of the process using Gillespie's algorithm for a compartmentalised system.

With students and postdocs, I have worked on large-scale simulation studies of structure formation as tests of alternative cosmologies and various models of dark matter.

Large-scale simulation studies are required to more fully define specific differences in the detection characteristics of the EARS and negative binomial cusum algorithms.

Large-scale simulation studies with this pathway structure lead to irreconcilable differences between the experimental data and the model results, which indicate that the model has genuine flaws.

The Vienna RNA Package [ 25] has its roots in a series of large-scale simulation studies aiming at an understanding of adaptive evolution on rugged fitness landscapes [ 26- 28] and the statistical properties of the sequence-structure relationships of RNA [ 29- 31] rather than the detailed analysis of individual RNA molecules of biological interest.

Here, we describe our experiences building a Grid computing system to conduct a large-scale simulation study using "borrowed" computing resources distributed over a wide area.

First, we aimed to evaluate the robustness of these models using a large-scale simulation study.

We first conducted a large-scale simulation study, in which our integrated models provided more accurate estimates of population trends than did Downing reconstruction.

To facilitate the use of network inference methods in systems biology, we report a large-scale simulation study comparing the ability of Markov chain Monte Carlo (MCMC) samplers to reverse engineer Bayesian networks.