Sentence examples for high predictability for from inspiring English sources

Together, these reports suggest that immune tests with high predictability for immunosuppression in adults may also be appropriate for the detection of developmental immunotoxic agents.

Overall, we found that the t values recovered by all four models are largely comparable to the references (Fig.  3a), indicative of high predictability for all four models.

Both pharmacophore models were well validated to be of high predictability for estimating the activities over a variety of compounds and evaluating how well diverse compounds can be mapped onto the pharmacophore before conducting any further experimental study.

It could be argued that the high predictability for 1-h plasma glucose is due to its high correlation with the 2-h plasma glucose (r = 0.58, P < 0.0001).

High predictability for the populations belonging to the lineage for which the niche model was constructed and low predictability for populations of the other lineages (i.e. low interpredictivity) indicates divergent ecological niches.

The correlation between Pr s and S s was higher for protein phosphorylation activation (PCC = 0.6, P-value < 0.013) than for gene set activation (PCC = 0.326, P-value < 0.051), perhaps reflecting not only a higher predictability for the protein phosphorylation data but also its smaller prediction space.

Five different techniques to remove failing implants provided to be successful; however, the counter torque technique, used in our study, is the highest predictability for the insertion of another implant [17, 18, 34 36].

Generally, GBLUP is the most robust method and generally gives the higher predictability for highly polygenic traits; the Bayesian methods and LASSO are better for traits with major genes; the PLS method fits data better when individual predictors are highly correlated; SVM and RKHS perform well for traits under non-additive genetic architectures.

Similarly when considering cancer, it has been clearly demonstrated over the last years that 3-D microtissue models have a higher predictability for in vivo response than conventional monolayer culture [ 57].

This is an important gap as zoning of established protected areas can have significant impacts on the results of conservation actions through higher resource efficiency, simplified management procedures, and higher predictability for the plans of local communities (Linnell et al. 2005).

High predictability of the proposed models clearly indicates an immense potential for developing lead molecules for potent but safe anti-HIV purine nucleoside analogs.