With large numbers of variables, this method gave good results in the comparative simulation study using simulated autoregressive data in the original paper [1].
As the ground-truth associations between SNPs and gene expressions for yeast are unknown, to systematically evaluate the performance of different methods, we perform a simulation study using the yeast genotypes with output values simulated from the known regression coefficients.
We perform a simulation study using Markov Chain Monte Carlo method in order to establish the accuracy of these estimators.
A fusion output control simulation study using 1.5D transport code is carried out to estimate requirement of fuel particle source.
Subsequent simulation study using improved model indicated that acetone was compatible for SEN, EUP, and TMF extraction.
Our simulation study using a real traffic measurement dataset validates our mechanism in terms of traffic smoothing and user satisfaction.
An extensive simulation study using a model of a two-degree-of-freedom robot manipulator was conducted.
An extensive simulation study using test-cases taken from the literature is shown to support the theoretical findings.
A detailed 3D CFD simulation study using Reynolds Stress Model (RS M is performed for the fitting and verification of the revised model.
The introduced methods are assessed by a Monte Carlo simulation study using the Spanish Labour Force Survey in the Canary Islands.
Our simulation study using real network traffic demonstrates the benefits of NetMem and highlights the advantages and limitations of the aforementioned techniques.
