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All continuous variables were log-transformed before analysis to achieve homogeneity of variance [ 55].
The DNA damage and personal exposure variables were cubic root transformed before analysis to achieve normal distributions.
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The distributions of LOS, NDx, and NPx demonstrated significant positive skewness and kurtosis as well, and were also ln transformed before the analysis to achieve normality.
If multiple scanning sessions were performed on the same animal at the same frequency (typically 1, at most 4), the resulting images from each session were first averaged together before any inter-subject analysis to achieve maximum signal-to-noise ratio while weighting the images from all animal subjects equally.
Data were transformed prior to analysis to achieve normal distribution.
It also focuses on the use of risk analysis to achieve poverty reduction.
At each of these stages of analysis, markers were removed as before, to achieve maps within two mapping rounds and to ensure that all markers had a mean χ contribution of ≤ 2.0.
A log transformation was applied to the data before analysis, in order to achieve approximate normality (this transformation was based on the experience from other studies).
This property has been widely exploited by classical Principal Component Analysis (PCA) to achieve dimensionality reduction.
Usually, samples were left overnight before SPME/GC-MS analysis in order to achieve adsorption equilibrium.
In transfection experiments, the cells were plated 48 h before transfection to achieve ∼60% confluence.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com