Sentence examples for threshold of specificity from inspiring English sources

It includes 20 types of PTM sites predicted with the threshold of specificity 100% for minimizing false positive.

To evaluate the prognostic value of the TTNT, receiver operating characteristic analysis was performed; we determined the best TTNT threshold for the prediction of good neurological outcome, and 100% was used as the threshold of specificity for poor neurological outcome.

From the perspective of clinical utility, any biomarker that meets the rigorous threshold of specificity and sensitivity for a certain disease state also requires the development of pre-analytical sample processing and readout techniques that are applicable in a typical clinical laboratory setting.

We conclude that a model of random occurrence of DNA fragment clusters in the genome is not appropriate for quantitative determination of critical threshold of binding specificity in Chip-based genome-wide binding analyses, including ChIp-seq.

A concern regarding implementation of our thresholds as stand-alone criterions for postoperative evaluation is the considerable number of patients not in need of postoperative evaluation who are identified by the established thresholds because of specificity values <1.

These two biologically defined thresholds of antibody specificity offer hope for the development of adoptive therapy with neutralizing antibodies.

Whilst at a threshold of 0.15%, specificity drops to 96% with 226 errors falsely identified as true, but all 290 are the likely true variants also identified.

Meanwhile, the fPSA threshold of 20% improved specificity to 38% among men with PSA in the range of 3.0 7.0 ng/mL.

Third, given a threshold of rank ratio, we calculate the criterion of sensitivity as the fraction of test genes ranked above the threshold and the criterion of specificity as the fraction of control genes ranked below the threshold, and we further plot the rank receiver operating characteristic (ROC) curve by varying threshold values and calculated the area under the ROC curve (AUC).

However, the control data provided many strong peaks which are often found in specific genomic regions like satellite repeats creating an unpredictable bias in identification of specificity threshold.

All thresholds have comparable levels of specificity and accuracy.