Sentence examples for sizes to identify from inspiring English sources

We apply Rough Set Analysis, a data mining method that can be used for small sample sizes to identify patterns in a dataset.

Using MRE visualization of the vector displacement field, we studied the properties of the shear wave field created by longitudinal MRE drivers of various sizes to identify optimum shear wave imaging planes.

In the present study we show that use of well-characterized control populations (see Methods) in genetic association studies can overcome relatively small sample sizes to identify risk variants.

We also calculated effect sizes to identify the magnitude of the effect of the intervention independent of sample size.

While GWA studies specifically addressing risk for BRCA1 and/or BRCA2 carriers are a more direct approach to identifying modifiers of these genes using an agnostic approach, GWA studies require large sample sizes to identify genetic modifiers with confidence.

However, human GWASs require large sample sizes to identify alcoholism susceptibility genes, and the studies published to date have been under-powered and show limited replicability (for a review, see Treutlein and Reitschel 2011 and references therein).

Finally, analysis of a cohort of sufficient size to identify common polymorphisms of plausible effect is underway, promising key information regarding the contribution of common alleles to TD.

We calculated landscape metrics (habitat loss, amount of edge, patch shape complexity, and mean patch size) to identify the aspect of landscape transformation most captured by well density.

Therefore, we use a grid search (with step size ) to identify the interval in which the subgradient of dual function changes its sign, and it is used as initial bisection search interval.

Each neighborhood shape was used to define a series of landscape variables from a land cover map, by varying the neighborhood size to identify the most relevant spatial scales.

A 95% C.I. was calculated around this mean effect size, to identify any significant departure from no effect.