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For the J591C diabody, this labelling method proved robust, allowing for reproducible labelling to high specific activity.
Our method proved robust against the misspecification of the covariance structure.
The method proved robust, with minimal variability in predicted mutations and mutational rates of human DNA when different random selected samples were analyzed (Additional file 6: Table S3) or on comparison of mammalian genomic DNA and RNA datasets where selection pressures are expected to be similar between species (Table 1; Figure 5).
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Multi-species coalescent methods that jointly estimate gene trees and species trees, such as *BEAST [ 18], have proved robust for species-trees estimation.
These results proved robust in various sensitivity analyses.
These collection and proteomics methods have proven robust and reliable and can be extensively applied to any species of gymnosperm.
More precisely, we explored the extent to which the challenges of these differential methods would prove robust with respect to age-differential comparisons across young, middle, and late adulthood.
Therefore, the proposed method proved to be robust against shadows with lower intensity values while retaining internal structures.
The method proved to be robust and effectively ranked various fuzzy numbers and their images, even if they are overlapping.
Therefore the method proved to be robust with geometric bias errors of between voxels and errors due to noise remaining below 0.1127 voxels for all cases simulated with signal-to-noise ratios from 5 to 35.
28 29 Finally, we consider it a strength that our imputation method proved to be robust in the sensitivity analysis.
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