Sentence examples for majority of true from inspiring English sources

Network television is also the most expensive to produce and still creates the vast majority of true hit shows.

This graph shows in detail the trigger PSA of all the true positive cases described in this study, demonstrating that the majority of true positive cases (10/11) has a PSA serum level ≥ 1 ng/ml Open image in new window Fig. 7 PSA serum level of the false positive cases.

"I think the majority of true conservatives don't think Trump is a true conservative," said Hannah Lott, a 25-year-old activist.

"For years," LaRussa says, "I would say the majority of true Latin American prospects were position players, and now you see more and more becoming pitchers because it's a better way to get to the big leagues".

Our analysis indicates that, since the vast majority of true cis-regulatory genes carry evolutionarily common signatures, the use of such signatures (fmSNPs for class I genes and subhaplotypes with many SNPs in high LD for class II genes) should provide more effective identification of true positives.

We therefore chose a bit-score cut-off of 250, which, although still retaining reads with less than 97% identity, was determined as the best threshold by virtue of retaining the majority of true positive hits, while maintaining a minimum number of true negatives.

The majority of the true positives presented here (Table 1) showed pathogenic instead of antigenic evidence (16 out 21 true positives), as detailed in the additional file 1.

"We came to play a football match and to provide entertainment for a family audience – instead we witnessed some truly appalling behaviour which damages the reputation of this great club and the vast majority of our true and law-abiding supporters".

The majority of missed true positives had low read coverage.

This allows us to conclude that the original d ≥ 2 count may be trusted to account for elimination of the majority of the true errors that exist in the original d ≥ 1 estimate.

It has also been observed that the assumptions, required for conventional normalization methods to work, can fail as a result of a true biological distribution of M, e.g., in situations where the majority of probes measure true differences between compared samples [ 18].