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As expected, because of the large recent effective population sizes we simulated, the variance of the inference accuracy was higher in this scenario, suggesting that more than a single chromosome for 500 diploid individuals may be required for the analysis of these demographics.
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In addition, at each timestep, model noise is added to simulate the variance of the ensemble, forcing it to grow at each forecast iteration.
Second, we simulated the proportion of variance in gene expression levels (PVE) explained by the eQTL, with possible PVE values ranging from 5%to50%0%, in intervals of 5%.
For the experimental and simulated data the variance is calculated from (13) σ m 2 = Ω (m ) 10 − SN R m 10.
For the experimental and simulated data the variance is calculated from (16) σ m 2 = Ω (m ) 10 − S N R m 10.
For the experimental and simulated data the variance is calculated from (13) σ m 2 = Ω (m ) 10 − SNR m 10.
Both the radiograph tubes and the stage were shifted between each examination, simulating the subtle variance in set-up and patient positioning experienced during longitudinal follow-up.
Using data from a long-term field study of plant demography, we simulated the effects of sampling variance by drawing vital rates and calculating λ for increasingly larger populations drawn from a total population of 3842 plants.
A total of 10 simulation scenarios were defined by varying the configuration of the number of genotypes, size of marker effect variance, and multiples of the two SDs used in simulating the error variances (Table 1).
In the RRBLUP method, the simulated variance components were used as the true variance in the analyses.
In each scenario, the prior for number of QTL was set equal to the average number of QTL in this scenario (Table 2) and the prior for the variance of individual QTL was set equal to the average simulated genetic variance divided by the average number of QTL in this scenario (Tables 2 and 6).
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CEO of Professional Science Editing for Scientists @ prosciediting.com