Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
For the 9 candidate modules, we recalculated the Module Membership (KME) of each gene by its correlation with module eigengenes.
For these identified PrCa-associated modules, we recalculated the Module Membership (kME) of each gene by its correlation with the module eigengene (Additional file 2: Table S2).
Similar(57)
To reduce the effect of those long experimental modules, we used only modules that are within the size range of predicted modules (27-580 bp) and recalculated the sensitivity and PPV.
For every co-module and every list of random gene pairs we recalculated the γ.
We recalculated the results of earlier workers based on our assumed initial conditions.
Finally, we recalculated the dependencies on an equidistant time grid common for all beams.
In this situation, we recalculated the NN, second and third configurations without U parameterizations.
However, when we recalculated the ambiguity of the ChemSpider-V records prior to curation, we found an ambiguity of 0.7%%.
We recalculated the GPS about 20 times.
We recalculated the ejection fraction (EF%).
In our primary care sample we recalculated that 8.5% used an antidepressant.
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