Sentence examples for multiple pairwise interactions from inspiring English sources

The computational complexity of the buffering stage of the algorithm is O ( E N b ), where E is the total number of the pairwise interactions read (the cliques are made of multiple pairwise interactions).

The force state on any agent with multiple pairwise interactions is determined by the principle of superposition, i.e. as the sum of the pairwise interaction forces.

Multiple (non-pairwise) interactions and larger PPI networks may offer the possibility of inferring SCL based on secondary and tertiary as well as primary relationships.

Here, by specifically examining those single-SNPs which had main effects which did not replicate for pairwise interactions the multiple testing burden is further reduced.

There are more entries than there are predator-prey combinations because some pairwise interactions were measured in multiple studies, in multiple contexts (resource levels, predator densities, etc)., or for more than one pathway.

After multiple testing adjustments, we only plotted pairwise interactions that significantly affected at least 10% of the metabolites to present a conservative image of the interaction network.

One of them included testing of many pairwise interactions, and therefore multiple tests, but the authors corrected for them by proceeding in four selection steps in three different sample collections [ 22].

In the case that a significant (P<0.05) task by age interaction was observed, multiple pairwise comparisons were used to compare the mean number of repetitions between groups defined by the cross-classification of age and task.

This has been exploited to reduce the multiple-testing burden when searching for pairwise interactions (Nelson et al. 2013), a burden that is an order of magnitude worse when searching for third-order interactions.

It was not possible to test for non-random concordance between genetic interactions identified in this study and those reported in F2 hybrids by permutation because individual GWAS regions have multiple partners and the number of possible pairwise interactions between SNPs varies widely across region pairs.

More importantly, the combinatorial explosion of even simple pairwise interactions necessitates stringent correction for multiple testing which eliminates all but the most striking results.