The general trend for L6 is nevertheless the same as for the other layers: Keeping all other paramters constant, the stability of the network is not given when assuming for the i-specific projections target specificity levels comparable with all other interlayer connections.
We recorded the number of exact GO term matches, more specific or more general terms (different specificity levels of the annotation), other branch or other GO category (true novel annotations) as described previously (Götz et al., 2008).
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.
It is not surprising that the pivot shift test achieves the highest sensitivity and specificity levels under general anesthesia, even more than those of the Lachman test.
Yet, if quality management criteria are fulfilled and standardised interpretation criteria are applied, high accuracy with excellent sensitivity and specificity levels have been confirmed [12, 13, 14, 15].
Today, the Lachman test is still considered to be the most reliable test, with the highest sensitivity and specificity levels [3, 4, 5, 6, 7, 8, 9, 12, 13, 14, 15, 16, 17].
Using heel DXL measurements to predict the lowest DXA quartiles at all the other measured sites revealed sensitivity levels of 0.9 (TB, spine, hip) and 1.0 (TBHE) and specificity levels of 0.86 (TB), 0.94 (TBHE), 0.92 (spine), and 0.95 (hip).
Considering the instrument's high sensitivity and specificity levels, it seems an excellent measure for future investigation of MD that will, hopefully, shed light on the etiology and psycho-biological mechanisms involved in this mental condition, as well as on the development of effective MD treatment methods.
Details of the sensitivity and specificity levels achieved by the tested systems can be found in the supporting information Document S1.
Using this approach, the AUROC (Area under ROC) identified optimal sensitivity and specificity levels (i.e., cut-offs) to distinguish normal from malignant ESCC tissues.
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).
