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As the first step it is necessary to develop a fast and accurate numerical method for the solution of the forward problem to simulate data for the inverse problem.
Use models (1) and (2) to simulate data for 2700 plots in nine strata (300 plots per strata – same stratification as step 1), including stand volume, OV and CC. 5.
For the early generations, we only need to simulate data for the CSCs.
We simulate data for a single CpG region that includes 9 CpGs, assuming that 6 of the 9 measured CpGs are methylated in the original transformed cell (∼67%).
We simulate data for tumors having different growth rates, models for cell division, and numbers of cancer stem cells (CSCs) at various stages of their development (numbers of generations of cell division) and plot the average estimates for the three different epigenetic distances: between half (BH), within half (WH) and within gland (WG) for various parameter settings (Figure 6).
A system to simulate data for the study of genomic selection in livestock and plants was developed.
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Visual predictive check (VPC) simulations indicated good agreement between observed and simulated data for all studies (Supplementary Figures S2 and S3) and covariates (Supplementary Figure S4).
We simulated data for 1200 subjects using exact data simulation [35].
We briefly describe the models, discuss in more detail the simulation procedure, and discuss the results of fitting the simulated data for the different models.
Simulated data for reflectance properly reproduce the experimental result only at long wavelengths, in the near-infrared region.
The new approach was first evaluated on simulated data for its performance under different configurations of effect size and dimensionality.
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