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If data were collected over longer periods of time, and with a larger sample size, then the number of parameter combinations that can fit the data would be significantly reduced, and allow for more meaningful model comparison.
Additional issues: 1) Protein-protein interactions are only demonstrated in vitro; the data would be significantly strengthened by demonstration of in vivo interactions through co-IP experiments.
However, the R value for this plot is 0.738, whereas the R value (or Spearman rank sum squared, rs) for 4-h CL Tk-GV) versus CL Tk-GVata would be significantly better, i.e. 0.928 (rs = 0.929).
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Finally, the advantages of designs using regions of damage sizes in the design criteria should be seriously considered as data requirements for design information would be significantly reduced.
The effort necessary to correctly simulate the activities of a human to reproduce real data accordingly would be significantly larger than using our solution, as discussed earlier.
If pressure to meet program expectations was a significant factor, then we expected that the self-reported data from faculty in the professional development programs would be high and data from the CF would be significantly lower.
And because it's data only, the price would be significantly cheaper than current cellular bills we're used to.
However, the data requirements for such a model would be significantly greater.
A sensitivity analysis showed that even without inclusion of shoulder dystocia, the rates would be significantly different (data not shown).
Based on these data, we predict that GP activity would be significantly decreased by middle-age as well, though the level of reduction in activity would likely be less than the approximate 30% decrease reported for aged GP.
We also analysed the data without filtering for VDAC1 expression to reaffirm VDAC1 would be significantly differentially expressed when expression levels of living and dead patients are compared.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com