Sentence examples for a degree of false from inspiring English sources

Instead, we claim that our conservative thresholds for predicting disease association is justified because using thresholds of known disease genes increases our likelihood of success given any estimation process is going to have a degree of false positives.

It should be noted that these computational tools have several limitations including that they only predict target sites in the 3'UTR of mRNAs, they often rely on conservation of the miRNA binding site and there is a degree of false positives and negatives associated with prediction analysis of mRNA targets and pathways.

Sequence data obtained for any one individual contained both missing data and a degree of false-negative SNP calls.

As such, there is a level of uncertainty in all tractographic data, with a degree of both false positives (Type I errors) and false negatives (Type II errors) inherent in any set of results.

Population-based database studies, where suitable sources of information exist, are likely to be the most economical option for studying the condition; however, there is likely to be a degree of inclusion of false positive cases, over-estimation of incidence and thus non-uniformity of the cases examined.

So in cases where there is motion blur due to fast moving objects, or self occlusion, or a vertical stripe moving behind a line scratch, there are a high degree of false alarms.

In clinical settings, the "red reflex" test is adequate for the identification of tumor reflections when administered by trained clinicians, but may suffer from a high degree of false negatives when conducted under a wide range of conditions [ 12, 13].

There was a high degree of false positive and false negative results, and at least one sample could not be genotyped at all in 9 of the 14 laboratories.

"Network anomaly detection creates a high degree of false positives," says Rouland.

Firstly, greater than 90% of microarray expression data was validated by qPCR, indicating that the methodology used is not subject to a notable degree of false positive/negative signals.

The purpose of using a multiple hypothesis testing correction is to reduce potential false positives and Zuyderduyn demonstrates by randomly permuting the dataset, there would be a high degree of false positives at the statistical thresholds we employed.