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Previous analysis of this dataset suggested that the association between group A-like var expression and IC is independent of peripheral parasite density [ 10].
However, testing on this dataset suggested that six was an optimal cut-off for sensitivity and validity (Supplementary Material, Methods S3 for details on ascertaining this threshold).
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The high statistical significance and R2 value of the log10 gene number- log10 genome size correlation derived from this dataset suggests that the resultant regression equation should provide reliable predictions on gene numbers for many species.
However, 22 soybean genes were not expressed in this dataset, suggesting that they might be pseudogenes.
Several genes were not detected in this dataset, suggesting that they might be pseudogenes.
Only a few cases of erosion were recorded in this dataset, suggesting that this is a rare cause of reoperation (particularly in the shorter run).
Findings from this dataset suggest that further research is needed in order to elucidate the relationship between immigrant status and DV.
The performance of the method on this dataset suggests that it can identify the potential disease indications of a query drug.
However, no correlation or trend was observed in this dataset suggesting that neither of these factors could account for the differential sugar yields in the 4-min pretreated chip.
The fact that we were unable to prove any nonlinearity of adiponectin development, although we reported nonlinear trajectories of glycemic measures and interleukin-1 receptor antagonist in this dataset, suggests that adiponectin indeed decreases linearly before diabetes diagnosis (5, 16).
This extensive dataset suggested a model where different WT classes originate from different developmental stages in the embryonic kidney.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com