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Given any parametric family, one can choose parameter values, calculate the three quartiles of the resulting distribution, evaluate the QRR, and determine whether there is a GG with the same QRR as described above.
While minMax[0].Item2 records the index of highest frequency, minMax[0].Item1 records the index of lowest frequency, and these values calculate (f_{i}) as in Eq. (3).
At each of these exposure values, calculate the mean model prediction for all subjects within each trial/subgroup.
A custom R script, Normalization.r, was used to log2-transform these values, calculate the ratio of red to green fluorescence intensities, and apply a loess normalization procedure [ 71] based on GC content of the BACs (see below).
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Using the values calculated for Eqs.
BA values calculated as in Fig. 4.
*p values calculated by Chi-square test.
The values calculated here are maximum for reasonable operation.
All P values calculated are two sided.
How were the branch support values calculated?
All values calculated as means ± standard deviation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com