The phrase "a validation would be" is correct and usable in written English.
It can be used when discussing the need for confirmation or approval of something, often in a formal or technical context.
Example: "In order to proceed with the project, a validation would be necessary to ensure all requirements are met."
Alternatives: "a confirmation would be" or "an approval would be".
However, since we are reporting associations that have already undergone such validations in studies we cite, repeating such a validation would be beyond the scope of our present paper.
Given the lack of a consensus gold standard for methylation quantification, we consider that the global validation of the Methylation array Platform results with an additional technique (57 90%) was quite appropriate but far from perfect, indicating that a validation would be especially relevant for each potentially pathogenic aberration.
Whenever one element is marked or removed, then all the elements that refer it are inserted into the affected list, unless they already are in the marked list (otherwise a double validation would be performed in these elements).
A successful validation would be evidence from receiver operating characteristics and in regression models that the instruments accounted for most of the outcomes.
Finally, we recommend that a useful validation would be to measure the association between the Index of Rural Access scores and age-sex standardised service utilisation rates, which in Australia is not currently possible because of limited access to such data at a sufficiently small spatial scale.
To compare the power of these software packages, an independent validation would be desirable.
No matter what strategy is applied, an experimental validation would be highly persuasive for candidate variations, but in most cases it would be very difficult.
A particularly interesting validation would be to extract a contact matrix of distributions from one set of data, e.g. in a hospital, to use it to design efficient containment strategies, and then to apply these strategies to a simulated epidemic on another dataset for a similar environment, for instance another hospital.
A more stringent validation would be to also test whether the SNP is significant in another population (Hayes et al. 2009, Pryce et al. 2010).
A further source of validation would be to see if other research teams, who were also conducting industry field trials, were independently converging on this same set of characteristics.
A suitable dataset for validation would be one that reports binding affinities for both wild-type and mutant proteins with same ligand, performed in a uniform experimental environment, for large number of proteins.
