Sentence examples for sensitive to identify from inspiring English sources

Despite having lower sensitivity than target-specific PCR, the EOPM platform is sufficiently sensitive to identify the pathogens causing clinical symptoms in infectious outbreaks, in which symptom-causing pathogens should be highly enriched.

Moreover, the PFT approach is proven more sensitive to identify seasonal drought when compared to other, taxonomy based climate reconstruction methods.

These results indicate that the nonclinical assessments of structure-function relationships were insufficiently sensitive to identify clinically relevant differences resulting from differences in the glycosylation profile.

Ideally, an early diagnostic test for PC would be minimally invasive, and relatively inexpensive, while being sufficiently sensitive to identify all or most cases of PC.

The TBC was able in general to identify and cluster viral isolates belonging to the same patient, but not extremely sensitive to identify transmission events, although the sample size of this experiment was small and sparse as concerns times of sampling.

Such a discrepancy has been encountered with other non-coding genomic segments [29], [30], and it has been proposed that current algorithms for detecting sequence conservation between evolutionarily diverse species are not sufficiently sensitive to identify all functional non-coding sequences [31].

However, certain metrics may be more sensitive to identifying change in particular contexts29.

The proposed approach is sensitive to identifying outlying assays and is not dependent on the choice of normalization method.

Functional metrics based on presence-absence data, such as functional richness, may be more sensitive to identifying changes in the exploitation of comparatively rare functions among different catch groupings29.

The MR results provide a basis for treatment options as it is sensitive to identifying early stages of failure.

Further, this methodology should be more sensitive to identifying expression changes in individuals at different stages of disease that would be "washed out" by the traditional analysis of groups of cases versus controls.