Sentence examples for high specificity level from inspiring English sources

Using >650 records of experimentally validated steroid hormone response elements, a high sensitivity level of 73% and high specificity level of one prediction per 8.24 kb is reached, allowing this model to be used for further prediction of primary target genes through the analysis of their upstream promoters, for human or other vertebrate genomes of interest.

The 42 proteins include 7 of the 19 dystrophin-interacting proteins that are known from curated databases (sensitivity of 37% at this very high specificity level).

Increasing the sensitivity at a high specificity level for ACPA detection appears difficult to achieve.

The lack of any signal both in seronegative blood donors, used as negative controls and in samples with inconclusive serological results suggests a high specificity level.

This high specificity level was accompanied by moderate sensitivity (48.2%), high negative predictive value (86.4%), moderate positive predictive value (50.6%), and a high overall accuracy level (79.3%).

In simulated sequence data, we demonstrate good sensitivity at high specificity levels.

The CA 242 test was more sensitive than CEA and CA 50 at high specificity levels (> 0.90) but slightly less sensitive at low specificity levels (< 0.60).

Two relatively high specificity levels (80%and90%0%) were chosen to reflect its performance for reference, with the cutoff values of 68 and 128 copies per ng for miR-221, demonstrating a sensitivity of 52%and35%5%, respectively.

When the HER2/CEN17 ratio cutoff was set at 2, the level of predictive value is quite similar; higher specificity level was observed for qPCR (Additional file 1: Table S4).

We used a new task composed of four embedded verbal autobiographical fluencies (VAF) – from low to highest specificity levels – exploring lifetime periods, general events, specific events, and details, plus tasks exploring free recall of episodic AM and updating, shifting, inhibition, and feature binding in working memory.

While the QMA-based scoring improved systematically the detection of each interaction category, the biggest benefits were gained at the higher specificity levels, which are more relevant in many applications (see the 10% FPR window in the Figure 1).