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Effect sizes (ES) are usually calculated to interpret the sensitivity of scores to clinical change [ 12].
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In addition to the diagnostic uncertainty, interpreting the sensitivity tests is also of concern.
We interpret the high sensitivity of our method in three ways; first it reinforces the rationale that GWAS with metabolomic phenotypes provides a functional approach to the study of human genetic variation [ 1].
An understanding of the inter-relationships between input variables is essential for interpreting the sensitivity data and optimizing the design parameters.
The slope can be interpreted as the sensitivity of the milk yield of a bull's daughters to changes in the environmental variable.
The Hill coefficient n can be interpreted as the sensitivity of the feedback loop.
In other words, the proportional yield can be interpreted as the sensitivity of diagnostic methods in combination.
These gradients of the edges in the solution space can be interpreted as the sensitivity of biomass production to the alteration of flux-sum.
A reduced cost (r i) can be interpreted as the sensitivity of the objective function with respect to the change in the ith flux value.
Deleterious mutations consistently decrease the within-line cofponent of variance in transcript abundance, which is straightforwardly interpreted as reducing the sensitivity of gene expression to small random variation in the environment.
However, it is hard to interpret the specificity and sensitivity of this test, as is also true for the TST, because no gold standard exists for diagnosing latent tuberculosis.
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