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We evaluated the proposed method in two different experimental settings: Setting 1: This setting assumed that there were no covariate effects in the quantitative trait.
Further studies are required to assess the difference between those two different experimental settings.
Powerful fitting procedures are required to calibrate model parameters in the context of several experimental datasets, often under different experimental settings and with different sets of measured species.
These differences might be attributable to different experimental settings.
Quantum theory provides a set of rules to predict probabilities of different outcomes in different experimental settings, and both contextuality and nonlocality play a fundamental role in interpreting the outcomes.
This discrepancy might be explained by differences between the different cell models employed (mouse vs. human) and by different experimental settings.
The contradiction of the dispersivity among different experimental settings reported in the literature is resolved.
Different experimental settings (levels) for matrixes, analyte/matrix proportions and concentrations of cationization agent were considered.
In two quite different experimental settings the theoretical value determined using MDL coincides with the best value found experimentally.
Another source of data heterogeneity are different experimental settings.
However, we validate these results through different simulation procedures in different experimental settings.
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CEO of Professional Science Editing for Scientists @ prosciediting.com