Sentence examples for identification probability from inspiring English sources

The centroid information of the five targets with the identification probability of 100% during the test is shown in Figure 6c and 6d.

A compressive sensing-based algorithm is also developed and analyzed in terms of correct tag identification probability.

If the number of elements in is small and SNR is very low, the probability of wrong identification may not be negligible and the number of candidate CFO values can be increased thus decreasing the wrong identification probability.

766 proteins were identified by at least 2 unique high-quality peptides (>90% peptide probability) with a protein identification probability >99.9%, on the basis of Scaffold's implementation of the empirical Bayesian algorithms, Peptide Prophet and Protein Prophet, respectively [17].

In support of this hypothesis, we cataloged 132 mass spectra matching ubiquitin (each spectrum with a peptide identification probability of 95% or greater as determined by Scaffold) in the hmCD40 ARC samples (high MW gel slices, Fig. 1, left panel), while only 4 spectra from the hmCD40Δ67 control matched ubiquitin.

The MSpresso protein identification probability combines both direct and inferential evidence of protein presence.

The accuracy of the identification itself has almost always been summarized with a measure known as diagnosticity, which is simply a ratio of correct and incorrect identification probabilities.

iProphet is used to combine peptide hits from each three search engines and refines identification probabilities.

Minimum peptide and protein identification probabilities of 80 and 99% were required respectively, and a minimum of at least 2 unique peptide assignments to each identified protein.

They also concur with the integrated model of intensity and quality by Olsson (1994, 1998), which predicted the categorical identification probabilities of the components in mixtures based on their intensities.

There have been no evaluations of the actual re-identification probability of k-anonymized data sets.