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We further validated our LO-refinement by using a simulated dataset with experimental conditions considered.
Both indices are compared to four existing ones using a simulated dataset which considers three desynchronizing disturbances: irregularity in firing, added spikes, and omitted spikes.
And finally, using a simulated dataset with the true covariance ARMA(1,1), we show that the order p and q in the ARMA covariance structure can be correctly determined by AIC and BIC values (Figure 1).
We first assess the performance of our method using a simulated dataset of sample size m=50.
The objective of this study is to demonstrate the method using a simulated dataset and show that estimates are subject to little bias.
To illustrate the usage of the package, we provide a computational example using a simulated dataset of 250 individuals who were genotyped at 25 SNPs.
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To evaluate the performance of the proposed feature selection framework, we used a simulated dataset with binary response and contain (p=45) predictors and (n=50) samples.
We used a simulated dataset to evaluate how different pathway factors, namely the number of genes in the pathway, the type of pathway profile and the percentage of pathway inner correlation (defined as the percentage of genes in the pathway that follow the main pathway profile) would affect the network results.
To compare speed and accuracy of prediction of emBayesR with that from BayesR, we used both a simulated dataset and a real dataset on 630 K SNPs for dairy cattle.
These different designs were used to fit kinetic parameters to a simulated dataset made using published parameter values.
Using a simulated rare variant dataset, we successfully cataloged significant genes that were test-specific or marginal in all tests.
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using a simulated pattern
using a simulated dialogue
using a simulated fuel
using a linked dataset
using a given dataset
using a simulated body
using a provided dataset
using a simulated gene
using a simulated expansion
using a simulated data
using a simulated disinfectant
using a simulated annealing
using a combined dataset
using a simulated tracking
using a simulated dipole
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com