Sentence examples for partition between groups from inspiring English sources

Exact(1)

If the property is relevant, we would expect to see amino acid differences that are not conservative, relative to the property partition, between groups in putative SDPs.

Similar(59)

In 2003 the teams noted some new brick partitions between groups of beds in three of the DH but no screening for individual beds.

High levels of genetic variance were partitioned to between-group differentiation, although most of the genetic differentiation was partitioned to within-population differentiation (as expected for outcrossing species).

We recorded data on cIMT measurements, age, BMI, and lipid metabolism parameter trends across increasing quintiles of cholesterol, lathosterol, campesterol, and sitosterol using one-way analysis of variance (ANOVA) and partitioning the between-group sums of squares into trend components.

In line with these results, the AMOVA analysis revealed that only 3% of the variation was partitioned between geographic groups, 8% among populations within geographic groups, and 89% within populations.

The present work describes an approach, which partitions within- and between-group relations.

To assess whether breeding practices have affected how variation is partitioned between the groups, we estimated pairwise θ (Fst) according to Weir and Cockerham [ 24] using the MSA software package [ 25].

Note that partitioning the individuals between groups resulted in small per collection sample sizes.

To test sub-analysis differences (large vs all adenomas; best approach vs all studies), we partitioned 'total heterogeneity' into between-group and within-group heterogeneity, and used the 'between-group' heterogeneity index as the test statistic against χ distribution with 1 degree of freedom.

Moreover, Hamilton's original formulation remained useful for calculating what evolves in the total population, even if it didn't partition selection into within- and between-group components along the way.

This involved successive binary partitioning of the data set by identifying at each partition the explanatory variable which maximized the between-groups sum-of-squares using analysis of variance.

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