Sentence examples for microarray measures are from inspiring English sources

Since microarray measures are inherently corrupted by noise, we hypothesized that the true underlying biological correlations between gene expression and H3K9 acetylation were much greater than captured through a simple correlation of high SNR genes.

Noise in gene expression and other microarray measures was estimated as the standard error of the averages of the measures across technical replicates.

The 3′/5′ intensity gradient, the basis of microarray RNA quality measures, is shown to depend on the degree of competitive binding of specific and of non-specific targets to a particular probe, on the degree of saturation of the probes with bound transcripts and on the distance of the probe from the 3′-end of the transcript.

Overall correlation between the microarray and frequency-based expression measures was modest.

A precisely linear relationship between the microarray and qPCR measurements is not necessarily expected because the microarray features are capable of measuring methylation of a larger local region (1 to 4 Kb) than the qPCR amplicons were designed to interrogate (400 600 bp).

Strictly speaking, microarray data are not quantitative measures of expression levels, but they do give some indication of the trends.

Microarray assays are highly multiplexed measures of comparative gene expression but have a limited dynamic range of measurement and show compression in fold change detection.

For example, the gene expression profiles of gene NM_003640 measured by both microarray platforms are highly correlated with each other but anti-correlates with the profile measured by TaqMan Gene Expression Assay (Hs00175353_m1, Figure 5A).

Samples of mRNA are labelled so that the amount bound to each probe on the microarray can be measured.

High-throughput microarray platforms are capable of measuring the expression of thousands of genes simultaneously allowing for the identification of genes that are differentially expressed in tissues from various individuals.

In order to validate this finding, the correlation coefficients to the ISG15 gene in the validation data set generated by the custom affymetrix microarray (N=111, EOS Hu03 microarrays) were measured.