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A total of 41,495 informative SNPs were obtained, and different subsets of SNP data were chose from the 41,495 SNPs for further statistical analyses (see below).
In addition, to confirm the results were not biased due to difference in sample sizes (one hundred (8.5 min) datasets in human vs. five to twenty-five (30 min) datasets in NHPs), the same functional connectivity analysis using TC-ICA was applied for a subset of human subjects (N = 18, 18 (8.5 min) data were chose to resemble 5 (30 min) worth of data in NHPs).
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These methods of generating and averaging 4D data were chosen for a couple of reasons.
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For each target, 60% of the bio-active data were chosen as training set and the rest remained as testing set.
The major gas product yields always change in time on stream, therefore, the data were chosen from the 5 h single time point.
The two best performing features in classifying validation data were chosen for further training.
Time windows for statistical analyses of ERP data were chosen based on visual inspection of the grand average and centered around the maximum of the differences between correct and incorrect performed notes.
These data were chosen for two reasons.
Birth data were chosen to reflect the most etiologically relevant time period for brain development [ 27].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com