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In the proposed LB-CPMIPv6 mechanism, a domain number should be assigned to every sub-domain in order to distinguish between the clusters within the PMIPv6 domain.
The great majority of UCRs, while conserved across vertebrate evolution, show no similarity between the clusters within the species.
We will take into account any differences in the characteristics of the children between the clusters within the statistical analysis, by adjusting the models according to the variables of interest.
The M1 and α2 receptors provided additional criteria for this segregation within the first dimension (absolute values of coefficients: M1: 1.10; α2: 1.05), whereas the GABAA, nicotinic, and D1 receptors were responsible for distinction between the clusters within the second dimension (absolute values of coefficients: GABAA: 1.02; nicotinic: 1.10; D1.10.1.10
A consecutive canonical discriminant analysis with 2 discriminating dimensions (x- and y-axes in Fig. 8 B ) revealed a most pronounced distinction between the clusters within the first dimension (x-axis; 72% explained variance), complemented by the distinction within the second dimension (y-axis; 28% explained variance).
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On focusing on the clusters, including transcription factors, characteristic relationships between the clusters emerged from the associations of the clusters within and between the four phases; one of the remarkable features is the distinctive relationships for the clusters between neighboring and non-neighboring phases.
The ICC, ρ, is the proportion of variance due to clustering, given by: where and denote the between-cluster and within-cluster variances, respectively.
Considering the two components of the variation in the outcome, between-cluster and within-cluster variations, ρ may also be interpreted as the proportion of overall variation in outcome that can be accounted for by the between-cluster variation.
Comparisons between the population clusters within Amazonia revealed moderate differentiation among the Amazonian clusters (mean FST = 0.0751 – 0.1813), particularly between Peru and WCA Brazil, Peru and NEA Brazil, and NEA and WCA Brazil (Table 3).
From the few well-studied model pathways, such as ST, PEN or the ORS cluster, we have already learnt that all clusters are controlled by a chromatin-based mechanism, but that the exact mode of control can differ significantly between the individual clusters within one organism.
A linear mixed effects model with centre as the random effect has been used to account for a possible centre effect.The ICC (intraclass correlation coefficient) is the measure of the ratio of the between cluster variance to the total variance (between-cluster + within-cluster).
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