Sentence examples for tests of expression from inspiring English sources

We used the remaining 5 male and 5 female zebrafish samples to conduct independent tests of expression bias for seven genes identified as differentially expressed by our microarray analyses.

Apart from the primary tests of expression, the Giardia U-snRNA candidates found here have not been extensively verified by biochemical methods.

The gene also does not appear to be evolving under purifying selective constraint as in Nicotiana (see fig. 4), further indicating it may be a pseudogene, although tests of expression will be necessary to confirm this.

Linkage mapping of eQTL was limited at positions spaced one cM within the CI of each identified pleiotropic pQTL, and the SNP association tests of expression values were only performed for the SNPs included in the chromosome regions of pleiotropic trait associated SNPs (TAS).

Our findings suggest that targeted testing of expression SNPs (eSNPs) strongly associated with altered transcript levels in autopsy brain samples may be a powerful way to identify genetic associations with LOAD that would otherwise be difficult to detect.

Specifically, we sorted the p-values for t-tests of expression of each gene from smallest to largest and compared the i-th p-value to the original alpha level (0.05) divided by the number of data sets+1-i.

Aneuploidy is also an interesting test of expression buffering because one can imagine at least two general strategies for such buffering.

All analysis was carried out using R (23) and the packages snpMatrix (46) for initial association testing of expression measures and glmnet (50) for lasso regression.

We defined a measure of gene significance (GS) as the t-statistic from the paired Student's t-test of expression in control RNAi samples and ES cell samples with RNAi knock down of Oct4 (paired by day of treatment).

Thus, a large number of papers focus on identifying stable references for various organisms, tissues, and conditions [ 9- 16], given the critical nature of the quality of the comparisons and the implications for hypothesis testing of expression levels.

Although our accuracy results are based on simulations, we believe they are a fair test of expression estimation methods as the simulations are of RNA-Seq data that follow standard assumptions.