Sentence examples for provide a measure of confidence from inspiring English sources

These diagnostic results provide a measure of confidence that the data appear reasonable and suitable for subsequent analysis.

It is observed that both for the solvents and the solutions considered the parameters obtained using the annealing technique are theoretically justifiable, follow physically meaningful trends, and can more easily be generalized; such results provide a measure of confidence that the annealing method does converge to the global minimum in the majority of the studied systems.

A false discovery rate (FDR) was calculated to provide a measure of confidence in the proteins reported.

This conclusion is based on a sufficient number of animals (n = 11 offspring in total) to provide a measure of confidence.

Although these results provide a measure of confidence in the informativeness of the outlier loci for ecotype assignment, the small sample size does not allow us to completely rule out issues associated with high-grading bias.

This study involved multiple statistical tests so false positives could have occurred; however, the very low P-values for many of the significant results provide a measure of confidence.

Given that every pocket identification algorithm is basically a heuristic it needs to incorporate a scoring function providing a measure of confidence in given prediction.

An important application of digit extraction algorithms is to validate new claims of record computations: After a new record is claimed, the decimal result is converted to hexadecimal, and then a digit extraction algorithm is used to calculate several random hexadecimal digits near the end; if they match, this provides a measure of confidence that the entire computation is correct.

It also provided a measure of confidence for its putative annotations.

As well as providing an accurate point estimate of the expression levels through the mean of the posterior, the probability distribution provides a measure of confidence for the results, which can be used in further analyses.

To overcome these limitations, we propose a probabilistic approach based on a Binomial mixture model, called SNVMix1, which computes posterior probabilities, providing a measure of confidence on the SNV predictions.