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We then calculated the mean summary statistics for the recent and old varieties.
For each of these background genomic regions, we computed the mean summary statistics based on iHS and XP-CLR and then obtained gene-level empirical distributions.
The mean summary statistics were used to compute the ABC estimation of the parameters N and T. Parameters of the evolutionary model were set to X = 100,000; μ = 0.00001; N = [100 5000] and T = [0 5000].
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Similarly to the first step, we used the mean of summary statistics over the 20 autosomal non-coding regions.
In order to assess the potential bias as well as the mean deviation, summary statistics were derived using absolute prediction errors as well as the actual numerical values.
The results of PET scans will be described by means of summary statistics, box plots, and scatter plots, both overall and for histological responders and non-responders separately.
Variables used in the study are basically categorical with mean values from summary statistics showing the percentage composition of each variable.
To include multi-locus information in calculating these metrics, we used the mean, for each summary statistics, computed over the 20 autosomal non-coding regions.
By generating approximate likelihoods for the mean of observed summary statistics over a grid of parameter values, they determined that the Hausa best fit a growth model beginning ∼1,000 generations ago with a per-generation growth rate α of 0.75×10−3.
In B5, we mean centered the summary statistics and scaled them to have unit variance.
For all methods based on boosting, we mean centered the summary statistics before boosting and used the glmboost function of the mboost package (Bühlmann and Hothorn 2007; Hothorn et al. 2010) for R.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com