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For the injection moulded samples the correlation function is used to derive local orientation factors.
For these measurements (about 1900 samples), the Correlation Coefficient obtained using the average ping versus the minimum, average or median GET differed from that obtained using the median ping by of the order of 1%, which was within the expected statistical fluctuations.
For the tumor tissue samples, the correlation between DNA methylation levels and the corresponding transcript abundance, for the 758 CpG sites with significant variation in methylation across tumors, was also negative, but much weaker (Figure 4B, mean ρ = −0.08).
Including all 465 samples, the correlation between the two technical approaches was examined.
Within the tumour samples, the correlation between SOCS1 - 7 and downstream regulated genes was examined using Pearson's correlation coefficient.
In this PCA biplot, the scores represent the apple samples; the correlation loadings the microstructural features and functional property (O2 diffusivity).
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At this number of samples the correlations for low and high PEVexact were ≥ 0.99.
This analysis shows that, for datasets with more than 71 samples, the correlations are always higher than 0.99.
However, it can be seen that by discarding the S1-14 sample, the correlation improves greatly.
In the sample, the correlation of the ability measure with the one of the father is 0.363.
Also, due to the pulse sampling, the correlation time of return fluctuate extracted from sea clutter are discrete values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com