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To test the partitioning of genetic variation, we performed an analysis of molecular variance (AMOVA).
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2) The power dispatch process and sequential power flow simulation are considered to test the partition status and modify the partition model.
DER dispatch and power flow simulation are necessary to test the partition results and feed back modifications to the first-stage model.
Two hierarchical AMOVA were performed using ARLEQUIN v3.0 to test the partition of the genetic variance among haplogroups and among continents within haplogroups, as well as among continents and among breeds within continents.
The incongruence-length difference (ILD /partition homogeneity test was conducted to test the partition incongruence to overcome the issue of combining those two data sets [ 41].
amova tests the partitioning of molecular variation among predefined subpopulations and yields fixation indices (FST values) which describe the extent of genetic differentiation for a given level of population subdivision.
In a fourth selection set, we tested the partitioning efficiency and binding specificity of our three proteins' aptamers, as well as two suspected background binding sequences, to eight targets running serially.
We tested the partitioning of genetic variation across three different sampling groupings according to: (1) the four phylogenetic clades, as outlined above; (2) four geographic regions: the Andean foothills, western Amazonia, south Amazonia and north Amazonia, which largely mirror the geographic distribution of haplotypes within clades; and, (3) ecoregions.
To explore sociability in the Wbscr deletion mice, we performed a variety of social interaction tests, including the partition test, direct social interaction test and tube test (at BCM) and the social choice paradigm (at SUMC).
However, despite the complex nature of their social organization, the current methodologies used for analysis of social behavior in mice have focused mainly on dyadic interactions such as in the classical three-chamber social approach test and the partition test (Silverman et al., 2010).
We added a statistical test of the partitioning between the two groups: The large and the small.
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