Sentence examples for problem significance from inspiring English sources

Two recently proposed algorithms seeking to address this multiple testing problem, Significance Analysis of Microarray (SAM) and Westfall and Young step-down adjusted p values, will be investigated in our study.

In this first microarray study of brachial plexus injury, we applied and compared the performance of two recently proposed algorithms for tackling this multiple testing problem, Significance Analysis of Microarrays (SAM) and Westfall and Young step down adjusted p values, as well as t-statistics and Welch statistics, in specifying differential gene expression under different biological states.

Signal frequency estimation is a problem of significance in many applications including audio signal processing.

The second treatise of the book raises another important philosophical problem, the significance of the concept of time.

We did so then, and we need to do so again now: not least in order to bring US policy into line with what ISIS has now become - a problem of significance for all major powers, and not just for the United States and its immediate allies.

This article addresses the problem of significance analysis for paired samples with count data.

To circumvent this problem, the significance of regulations at the single gene level was additionally determined with a t-test.

As many gene families have arisen through gene duplication during evolution the similarity between different gene copies can pose a problem of significance in the assembly of transcriptomes.

The proper estimation of the level of precision constitutes therefore one basal problem in significance analysis, especially if only a few replicates are available.

We anticipate that defining endothelial gene expression patterns will be important in understanding prostate carcinogenesis, since tumor angiogenesis is a generic problem of significance in tumor biology, and studies of other tumors such as colon cancer have found it significant [ 32].

A potential problem of significance testing using GO annotations is that the hypergeometric distribution p-values are biased and sensitive to the total genes (m) used in the tests, which are not truly representing the entire genome because of the selection biases in array design and incomplete process of GO annotation.