Firstly, circadian clocks are believed to be highly robust in comparison to other cellular processes (for example, calcium or glycolytic oscillations) [48].
The use of PBMCs has proven to be highly robust in distinguishing a disease state from healthy state, by studying gene expression profiles of these cells [ 12, 13].
In conclusion, we observe that the mean and median performance of the cross-PTM score is highly robust in source distinction and worst-case performance is sensitive to choice of peak ratio (tau) and number of detected peaks.
Our results show that our TV implementation is highly robust in front of motion artifacts and that it offers the best trade-off between speed and accuracy for fetal MRI recovery as in comparison with state-of-the art methods.
The middle network with large numbers of redundant miRNAs was highly robust in response to perturbation of external forces.
Both assays were highly robust in that significant differences were distinguished among small cohorts of mice which will be important for analyses within a cohort size that is feasible for studies of cellular and molecular mechanisms involved in remyelination.
> -wrap-foot> Ashownwn in Table 5 and Fig. 3, the correlation in activity between the left pTG and left anterior/ventral inferior frontal gyrus, BA 47, was highly robust in both groups (R = 0.687, P = 0.0004 and R = 0.686, P < 0.0001 for PT and term control subjects, respectively).
According to this and other studies (e.g. [ 6]) the outputs of these modules (i.e. attractors that correspond to the possible alternative multigene expression profiles) are highly robust in the face of diverse perturbations, suggesting that these may act as patterning modules for a wide range of parameter values in kinetic functions of the network.
The index, integrated into a four-step model, proves to be highly robust and useful in terms of quick diagnosis in capturing effective actions, and developing potentially efficient policies.
By contrast, MLST was observed to be highly robust and efficient in identifying ancestral relationships and segregating the outbreak associated strains according to their genome species status.
MLST, on the other hand, was found to be highly robust and efficient in identifying ancestral relationships and segregating the outbreak associated strains or otherwise according to their genome species status and, therefore, could unambiguously be applied for investigating phylogenetics of Leptospira in the context of taxonomy as well as gene flow.
