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The exact parameters of fuzzy membership function and probability density function can be obtained through fuzzy random simulating the past dates.
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All these preliminary tests were achieved with random simulated choruses that have not been shaped by selective forces.
To address this, the spatial structure of the real TB case spread was used as a guide when adding the random simulated cases.
For each read length, we assembled haplotypes over 5 trials of random simulated sequencing.
Indeed, the amount of original 'new in vicinity' plaques was significantly higher than the random, simulated new plaques (Fig. 2k).
We converted each random simulated VAF data to a PhyloSub input identical to the procedure performed for the simulations in the PhyloSub paper.
To determine an appropriate frequency of disruption threshold, ten random, simulated datasets were generated and a distribution plot was generated for all of the observed frequencies from 0/9 to 9/9 across all simulations.
As could be expected, the genome-random and repeat-random simulated TFBS sequences have lower scores than do the matrix-random simulated sequences (Mann-Whitney U test P = 3.7e-5).
'Repeat-random' simulated sets of 1,000 TFBS were generated by randomly sampling sequences of the same length of the matrix from members of the same repeat (TE) subfamily that the particular TE-derived TFBS was derived.
For the uncertainty quantification in structural dynamics, random simulate methods such as Monte Carlo Simulation, Probability Density Evolution Method (Le and Chen, 2009) and metamodel method (Hastie et al., 2005) [2] are extensively used because of their usability and universality.
For the compressible flow, the effects of random geometric perturbations (simulating random roughness) on the scattering of a strong shock wave is investigated both analytically and numerically.
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