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The recently published MotEvo method may address this challenge (Arnold et al. 2012).
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Recent advances in using episomal reprogramming methods may address these issues and efforts are in progress to reprogram T-cells via these alternative methods [5], [6].
On the other hand, encouraged by the successful application of computational methods to deal with various biological problems such as drug design [ 8– 13] and analysis of complicated biological pathway [ 14– 17], computational methods may address this problem and provide some useful information for investigators.
One method that may address this is to use exponential random graph models that can incorporate a range of different distributions of connectivity between the nodes to create many different networks, which can be compared with the data to find a model that best fits the current trade pattern [ 38].
In these cases, assisted methods involving engineering analyses and mathematical optimization algorithms may address the problem.
Evidence about methods to support individuals to change unhealthy behaviours exists and may address doctors' training needs.
In principle, such methods may be applied to any system, given sufficient computer resources, and may address fundamental questions such as naked singularities.
We may address the issue of designing organizations by invoking new research methods and new ways of imagining possibilities.
Future studies may address this.
Future studies may address this association.
In particular, our method may be able to address a recent criticism that the NRI cannot measure improvements in risk prediction at the population level [ 34], since the latent class model incorporates prevalence into the estimates.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com