As above, we run one million iterations with randomly sampled miRNAs and compare the GO term scores for differentially expressed miRNAs with this empirical distribution.
Even a machine with enough memory to store such a large parameter vector will need even more memory for the intermediate computations and will take a significant amount of time to run only one iteration.
Thus, when run on one node, 64 iterations are required; for two nodes, 32 iterations are required, and so on.
The Markov chain Monte Carlo (MCMC) algorithm used to fit this model was run for 150,000 iterations, which included running one Gibbs chain in each iteration for sampling μ,, s,, and βi, and running 100 cycles of the Metropolis-Hastings algorithm within each Gibbs chain for sampling.
Last but not the least, all agents are called to run, on their own, one iteration (line 8) of Algorithm 2. It is important to note that iterations are not equivalent to time steps.
Rules were calculated for each reaction with diameters ranging from 2 to 16. Table 2 below provides the number of compound generated running RetroPath2.0 for one iteration on the metabolites of the iJO1366 model and the rules sets mentioned above (see "Methods" section for additional details).
We also show that the running time of one iteration of the best-exchange-by one improvement heuristic is of the same order.
When running BLAST+ we used psiblast with one iteration on a database composed of all annotated sequences from every species except the target species.
In this study, the parameter values recommended by House et al. were used and both algorithms were run for one hundred thousand iterations on each average spectrum [ 19].
Unless stated otherwise, the MIS-based algorithm is run for k iterations (for similarity to the proposed algorithm) with one iteration during the local search phase.
