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We emulated the approach of Drummond and Wilke (2008): Regression analysis between these two estimates enabled us to evaluate the presence of selection in our second genomic data set.
Additionally, the single CpG resolution of our methylation dynamics estimates enabled us to show that DNA sequence context of CpG sites is informative about methylation dynamics across tissue differentiation.
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However, we can see how well the estimates enable us to track the data over time.
The structure of our estimates enables us to combine estimates from different animals for spatial measures of resource usage.
The high precision of the EMPIRIC estimates enables us to explicitly study the distribution of synonymous fitness effects.
We monitored withdrawals and deaths before admission with an exacerbation of COPD, which proved considerably lower than our estimates, enabling us to stop recruitment at 128 participants in each group.
Since prevalence estimates of CKD are dependent on the nature of GFR estimating equations, it enabled us to compare prevalence estimates obtained from two equations.
Weighting the data in this way appears to increase sensitivity of the enrichment estimate and has enabled us to apply our method to estimate weaker enrichment profiles, for example, those associated with siRNA off-target transcript inhibition.
The composite indicators, estimated by several methods, enabled us to rank and group the countries according to their safety performance.
Using the 7-Day Activity Diary as our criterion measure enabled us to estimate the validity of domain-specific estimates of sedentary behavior.
It enabled us to estimate the local recombination rates using a narrower region.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com