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We generated hybrids by random simulation of individuals of which the genotype is half F_ves/half F_spi.
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We inferred significance of the test statistic Λ, the likelihood of association between allele frequencies and disease phenotype (1 if individual died, 0 if alive without disease signs) within demes, by comparison with 10 000 random simulations of genotype frequencies for each locus.
(A) Number of common TFs proposed to be perturbed by the model (blue and red bars) and by 1000 random simulations (grey bars) for several viruses.
Lastly, a missing not at random simulation was completed by linking the probability of missing one particular question to the response of that question.
The expected number of overlapping genes among lineage-specific HCNSs and UCEs was calculated by random sampling simulation.
P-values of events were estimated by the fraction of random simulations supporting the null hypothesis.
The number of cancer recessive genes in a simulation by random association of the four mutation tests was of 60.5 (false detection rate of 0.39).
The simulation proceeds by random pairs of agents communicating about the history and learning from each other.
We did simulation study by random shuffling of miRNA sequences to test whether our method could distinguish a miRNA from its shuffled version during the detecting process.
By a numerical simulation of random sets of devices, we will show there that the design proposal previously made by us allows a drastic reduction of the Vth dispersion in these highly disordered arrays.
The Monte Carlo bootstrap simulations were performed by random selection of samples of 100 000 patients with replacement from the pool of first or only specimens of 175 671 individual patients.
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