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The sensitivity indices and hence the relative importance of each factor in explaining the variability of a given criterion could depend on the number of factors included in the analysis, but their relative ordering should not change.
A seminal paper analyzed data across studies and concluded that between-animal variability of a given pathway can exceed 2 orders of magnitude (Scannell et al. 2000).
But clonal selection is restricted to the natural variability of a given cultivar, within the limits of the characteristics on which the trueness-to-type is based.
Since CV assesses the variability of a given sample, we expected to reach a plateau for segment sizes long enough to reflect the intrinsic variability of the units.
Contrasting architectural parameters could result from: (i) the genotypic variability of a given species, (ii) the environmental conditions to which plants are exposed during their growth, and (iii) the genotype and environment interactions characterizing the phenotypic plasticity.
The molecular dissection of quantitative traits is moving quickly from QTL to trait mapping, which is not only mapping and cloning one or few QTLs but rather the identification of all the major components responsible for the genetic variability of a given trait in a crop species.
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The IQR captures the width or degree of variability for a given patient within each six-hour block.
For a given species, the value of these two parameters, in combination with species-specific height-dbh parameters, predicts average canopy status, crown radius and crown depth (Fig. 3); the within-species relationships between these 3 metrics and dbh (Figs 4, 5); and much of the observed variability for a given dbh (Fig. 5).
While research on the visualization and documentation of variability in software artefacts by means of e.g. feature diagrams is well established, most of these documentation methods in the field of variability management assume the presence of variability as a given fact.
This method is useful for isolating the independent modes of variations that can account for the major parts of the variability within a given set of data.
For a given pair of samples x and y, the Euclidean distance was calculated as ∑ i = 1 297 x i - y i 2. The level of variability in a given individual's kinome profile was the average of all 6 Euclidean distances.
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