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Garcia-Cortes et al. [ 16] and Fouilloux and Laloë [ 17] have proposed sampling methods that, theoretically, allow the estimation of entire variance-covariance matrices, and, as a result, the estimation of the CD of contrasts among genetic levels of herds.
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This work presents an easy-to-implement method that theoretically completely resolves the multiple-root issue.
However, restricting to methods that have theoretically derived statistics is not necessarily the best strategy since each search method does have different strengths [9], [22].
Overall, standard errors were large and regression coefficients tended to be less than 1 (even for methods that are theoretically known to be unbiased such as ABLUP and GLA0BLUP).
What sets the present effort apart, as emphasized by using the word statistical, is that we focus on methods that have rigourous theoretically derived asymptotic detection criteria.
We have recently proposed a deterministic method that can, theoretically and practically, guarantee the finding of complete Pareto front for discrete MOOPs (Hu et al. 2013).
Here, we present a novel gene trap method that can theoretically be applied to any cell line.
However, "if the technique can be reproduced by others in other cell systems and other target genes," he says, "we would have a method that theoretically could provide a cure for genetic diseases".
The obvious difficulty lies in developing theoretically informed methods that reckon food system differences in ways that enable scholars to identify those foods that may have been particularly imbued with social meaning.
Future efforts to extend and refine our analyses could theoretically produce methods that could direct an investigator to a set of model species that would be well-suited to studying a particular human disease gene or disease class.
Altogether, validations on multiple data sets are required as evidence of stability, and that theoretically sound new methods outperform existing ones [ 118].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com