This indicates that two identical RNA samples perform very similar within the pre-processing and final hybridization reactions.
As reported in [36], EMD yielded a very good retrieval performance for the small sample size, while JD and performed very well for the larger sample sizes.
Among the records for which the classification rules and the intent-flag yielded the same classification (sample A), the classifiers performed very well, with sensitivity, specificity, positive and negative predict values all above 95%.
Average abundance based rarity value of the species proved to be the best surrogate of the multi-criteria CV measure for both regions, and it also performed very well when sample size was restricted to two sampling occasions per patch or to a single family.
The model performed very well, as hold-out sample opinions were predicted at an average accuracy of 89.1%, with little variance in performance.
On average, real sample concentration uncertainties were lower than 10%, indicating that the analytical method performed very well.
MALDI-TOF MS can be performed very quickly, requiring a mean of a few minutes per sample to identify an isolate, and with high accuracy.
The resulted sensor performed very well in the detection of glucose in serum samples.
Spain, Portugal and Ireland performed very strongly.
