Sentence examples for more powerful prediction from inspiring English sources
This understanding can be used to design more powerful prediction methods for protein structural class.
It is a more powerful prediction tool than MIC for determining the antimicrobial action of plant extracts, as it depicts time related rate of bactericidal activity (Ojo et al. 2013; Ruppen and Sendi 2015).
However, T-RFLP may not result in the most accurate representation of the microbial community itself, and a much more powerful prediction tool can potentially be developed using more sophisticated molecular methods.
Figures 1 and 2 show the best classification trees, separated by the more powerful prediction variable: chest radiograph pattern.
New information on risk based on genotype, mammographic density [ 13], and serum hormone levels [ 18, 53] should now allow a much more powerful prediction of risk for an individual woman – development and validation of these models is critical.
This has started to change lately, due to the impact of molecular profiling studies, and will undoubtedly increase the value of IHC-based tests through combining multiple different IHC markers into more powerful prediction models.
With the rise of wearables and a growing Internet of Things, more and more personal data-points can be added to such systems to power apparently more powerful predictions.
However, even more powerful predictions are feasible based on the DACO results because recruited regulatory proteins were predicted as well.
As a result, combination with several stem cell markers may become a more powerful prognosis prediction marker.
As more powerful RNA structure prediction programs become available, particularly those reliant on phylogenetic information for structure prediction, this approach can be extended to larger RNA structures.
Moreover, we found that among the extrahepatic organ failures, renal failure was more powerful for the prediction of 6-month mortality in patients who survived ICU than for the prediction of in-ICU mortality.
