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Dominance deviance deviation from additivity in the main or interaction effects—is key to test performance: When it is zero or modest, tests searching for a trend with increasing risk alleles are optimal; when it is large, tests for genotypic effects are optimal.
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Future efforts on the AzAA portal will include the operationalization of a larger testbed for investigation with the system.
General Motors sponsored Carnegie Mellon's DARPA races and has a large testing facility for driverless cars outside of Detroit.
We construct a sufficiently large test set for computational simulations from our test set of annotated binding sites.
As an example, Figure 1 shows a genotype cluster plot for a SNP (called SNP1) that passed standard QC before inspection of cluster plots, but gave an unusually large test statistic for a two-locus test of association.
In large studies, tests for normality are very sensitive to deviations from normality and thereby unsuitable as tools to choose the most appropriate test.
Since existing experimental data and physical models/correlations were produced from several tests performed at the small scale with limited initial and boundary conditions, scaling considerations must be addressed when simulating larger scale tests for the uncertainty analysis.
She gave another reason for the large testing gap.
Also, some of the correlations significantly under predict the data for very large test sections.
The deal also would give the brand a larger test group for electric-vehicle platforms currently under development.
The installation will be built at Technology Centre Mongstad, the world's largest test facility for carbon capture and storage technologies.
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