Understanding the occurrence of metritis may benefit greatly by supplementary validation, as clearly illustrated by the examples given above.
Finally, the predicted target genes of the majority candidates present expected expression change in another independent data set, which serves as a supplementary validation of these candidates.
This paper is an example of supplementary validation.
Consequently, supplementary validation may often be regarded as 'extra work', i.e. visiting farms again.
Supplementary validation experiments using conventional methods are required to confirm these findings.
Finally, data processed post-event can then be used for de-briefing purposes and supplementary validation checks.
Supplementary validations involving large surveys in natural populations and formal association genetic studies [ 31, 108, 113], as well as expression studies and functional characterization [ 114], appear essential to attest such associations [ 3].
Supplementary validations for a sequence of fundamental cases indicate an encouraging predictive accuracy for the considered physical phenomena.
As a direct result of the present initiative, an extensive set of data for computational tools validation is provided as Supplementary Materials, including pressure signals, wave height measurements and experimental videos.
The detailed list of these potential drug targets incorporating the network centrality measure scores and validation is provided as Supplementary Material available online at http://dx.doi.org/10.1155/2015/212061.org/10.1155/2015/212061
The published sensitivity of their classifier of 73% was obtained when the internal validation was improperly done and only 59% when the validation was properly done (published as supplementary material) [ 26, 27].
