Ai Feedback
Exact(13)
We defined a measure of module significance as average absolute gene significance across the module genes.
The first measure of module significance is simply the average gene significance measure across module genes.
We used the eigengene based connectivity kME as a measure of module membership.
We defined a measure of module membership (MM) by correlating the ME with each gene expression profile [ 26].
To arrive at a measure of module significance, we average the GS severity values of all genes within a module.
Due to its advantages, we used the module eigengene based connectivity as the measure of module membership in our applications.
Similar(47)
We defined two related measures of module significance.
The module eigengenes are used to define measures of module membership which quantify how close a gene is to a given module.
Below, we define measures of module membership to identify the subsets of genes inside each of the five preserved modules that showed the strongest evidence of preservation.
There are no measures of module significance per se, and the actual module structure may change if different cutoffs are chosen in the analysis (see Supplementary File 2).
It turns out that the two measures of module membership are highly related [ 44] but the eigengene significance measure has the advantage of allowing one to use a correlation test for computing a corresponding p-value.
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