Sentence examples for sample by simulating from inspiring English sources
However, we attempted to account for unequal sampling effort across time and unequal number of PCR attempts per sample by simulating samples of equal effort.
We induced differences in Υ ij among samples by simulating differences in read coverage among samples.
The predictive distribution can now be sampled by simulating the model for each of the samples in the posterior parameter distribution and adding noise generated by the associated error model.
We investigated the extent to which balance was a function of sample size by simulating the scenario with each simulation based on samples of 40 and of 500 patients.
Moreover, in our statistical analysis we control for any effect of the low sample sizes, by simulating the exact same sample sizes as achieved in the field.
We therefore accounted for unequal sampling effort across time by simulating samples of equal effort.
The refractive index n of each sample was obtained by simulating their ellipsometric spectral using Tauc Lorentz oscillator model, and then the relative sp3 C ratio of each sample was calculated using Bruggeman effective medium approximation.
Each sample was generated by simulating NGS short reads from a mixture of the genomes of 5 microbial species detected in soil [ 42] with different abundance levels (see Materials and Methods for details).
A set of 20 metagenomic samples was generated by simulating NGS reads from 5 soil bacterial species as in the above simulations [ 42] with varying abundance levels.
We also further explored the influence of sample size in single-population models by simulating samples of 1351 diploid individuals, as in the joint AFS analyzed by [ 27].
Various scenarios of different numbers of individual samples, different numbers of pooled samples containing various numbers of individual specimens, the relationships between chemical analytical error and other sources of sample variance, have been compared by simulating random sampling from computer generated populations using realistic measures of variation from ongoing monitoring activities.
