E-CAI is calculated from a set of query sequences by generating random sequences with G+C and amino acid content similar to those of the input.
Randomization was performed by generating random numbers.
Bootstrap statistics emulates real life by generating random and independent data points from the original data set using computer-intensive programs.
We estimated the variance of these artificial models by generating several random sets of synthetic active region and patch locations.
Particles are initialized by generating the random set in a particle: (3) x j, d = { Random (S N P min , S N P max ), d ≤ D 2 Random (G e n o t y p e min , G e n o t y p e max ), d > D 2, where SNPmax and SNPmin represent a limited SNP, while Genotypemax and Genotypemin represent the limited possible genotypes.
These parameters are, in effect, the genes of the engine and the computer starts by generating a random set of these genes.
The app works by generating a random set of VPN credentials to connect to the cloud.
Two sets of random miRNAS were made, one using a Perl script generating random 21-nucleotide sequences [ 53], and another one by randomizing the plant miRNA sequences with the Bioedit software [ 54], doing 1000 random swap operations.
Thus, we applied a bootstrapping technique to create a sample distribution by generating 10000 random gene sets of the same size as the average of the resulting pathways and calculating the distance scores of these random sets to the small molecule under investigation.
The likelihood of seeing two CO events only 25 kb apart was estimated by generating 10,000 sets of 15 random coordinates between 1 and 1.4 × 10 (14 Mb was used instead of 22 Mb to account for CO events occurring primarily in the distal two-thirds of the X chromosome), and the smallest distance between adjacent coordinates in each set was then calculated.
