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When looking at recent data, some of our ideal comparison datasets just weren't available yet.
To carry out this comparison, datasets are simulated that vary systematically on various dimensions like sample size, noise levels and number of independent variables.
Random subsets of the comparison datasets for all putative source populations were used for self-assignment.
Two comparison datasets (for group A and group B) were compiled from the GenBank sequence database.
Finally, there was a trend of decreasing cartilage selectivity moving from the U133A to U133B to U133 2.0 qRT-PCR validations, likely reflecting the decreasing robustness of comparison datasets in the respective platforms.
Eight blood samples were excluded because hypoxia plateaus were not stable (Sa o2 values differed by more than 3% within 1 plateau), leaving 202 separate Sav o2 and rS o2 comparison datasets included in the analysis.
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We observed that emotions and sentiments identified in tweets vary significantly over time for military and control populations (i.e., Comparison Dataset).
We begin this section with our novel findings on sentiment and emotion differences in social media data between military and non-military populations (i.e, the Comparison Dataset).
Based on the LOWESS regression of this large comparison dataset, 3′:5′ ratio threshold criteria equivalent to RIN cut-off values can be proposed for the selection of RNA samples for RT-qPCR analyses.
Table 1 Dataset comparison Dataset details Java C# Projects 4 20 Files N/A 46,752 Source files 20,223 28,596 Issues N/A 16,630 Traceable to commits N/A 2839 Classified as bug 3479 878.
Similar to Eq. (4) and (5), we constructed military-specific vs. non-military-specific ILI and affect time-series from the 8 million tweets annotated in the Comparison dataset.
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