Exact(1)
With WGCNA, weighted correlations are calculated between genes based on the gene's expression in the different samples; a weighted correlation is a correlation raised to a certain power (called the soft thresholding power).
Similar(59)
The adjacency matrix was calculated using the absolute Pearson correlation coefficient raised to the power β.
The network adjacency matrix is the gene pair-wise correlation matrix raised to the power of 6, chosen based on the scale-free topology criteria [ 77].
Figure 3B shows that eigengene based network adjacency (defined as the correlation between eigengenes raised to the soft-thresholding power 4) is highly correlated (r=0.93) with the cluster similarity parameter calculated by CPBA.
Second, this correlation matrix was raised to power β = 6 to calculate a adjacency matrix.
Indeed we observed that with non-median centered data the average correlation between FFPE and FF pairs increased from 0.70 to 0.80, but at the same time also the non-pair correlation raised from 0.009 to 0.59.
If spouses are correlated for homophobia through the assortment process, then both MZ and DZ twin correlations will be raised to the same degree.
The correlations matrix was raised to the power 6, thus producing a weighted network.
The exponential covariance-variance matrix allows for non-equidistances between consecutive time points; the matrix has two parameters: a shared variance and a correlation which would be raised to the difference between any two time points.
However when we compute the correlation between rpmB1 and the genes assigned to the core set but only considering the previously selected subsets of conditions the correlation values raise to 0.63, 0.71 and 0.93 respectively, showing that, as previously reported, expression of rpmB1 is indeed regulated by ZuR.
A correlation analysis between average absolute fold-changes for all 15 genes showed a low Pearson's correlation coefficient (r = 0.27) probably due to differences in fold-change between the two techniques used, but if c3 (the gene for which fold-change differences between microarray and qPCR were greater) was removed from the correlation analysis, the r value raised to 0.92.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com