Sentence examples for between gene expression platforms from inspiring English sources

Exact(2)

Also, we introduce the log-ratio discrepancy as a more relevant measure of discordance between gene expression platforms.

However, when studying the correspondence between gene expression platforms, the expected linear relation has a slope of 1, when the results of both platforms are in complete correspondence (dashed line, Figure 1C), and the deviation of the observed scatter plot from this expected relation should be tested.

Similar(58)

Therefore, the absolute expression of a single gene in a single sample is not directly comparable between different gene expression platforms.

There are a number of possible reasons for the differences observed between the two gene expression platforms used in the current study.

Our analysis yielded reproducible and highly similar results, with an average correlation of R2∼0.80 (Fig. 5A), indicative of a high degree of measurement concordance between the two different gene expression platforms.

With respect to reproducibility (both within a plate and between plates), this assay was found to be similar to other high-dimensional gene expression platforms.

The two gene expression platforms are strongly concordant in the measurement of differential gene expression between tumor and normal tissue (ρ = 0.73-0.81; Figure S4 and Tables S1 and S2).

Studies on multiple platforms have found generally poor reproducibility across gene expression platforms [ 16, 17], although this reproducibility was found to vary between laboratories [ 18].

However, current expression similarity measuring methods need to be improved to accurately measure similarity between gene expression profiles from different platforms or different experiments.

Screen validation by assessing the correlation between gene expression and methylation levels of the candidate genes identified from the HumanMethylation450K platform.

The use of microarray platforms has enabled a wider exploration of the potential association between gene expression patterns.

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