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The model validation parameter Q (the fraction of variations of X and Y matrices explained by the model; the X matrix was the metabolite features, and the Y matrix was the treatment groups) values above 0.4 were indicative of a robust model, i.e. true differences between the comparing groups, and Q between 0.7 and 1.0 indicated that the model was highly robust [ 26].
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Genes showing significantly different expression differences between the compared groups were clustered with Cluster and their expression pattern graphically illustrated using TreeView (as described in [ 4]).
Considering the differences between the compared data sets, we calculated the coefficient of repeatability as 2 × standard deviation.
The results showed that there were no differences between the compared acoustic conditions in terms of IS.
We observe two main differences between the compared models and the proposed DG3PD model: Two-part decomposition instead of three-part decomposition.
Also the Rhodopsin family γ cluster has several differences between the compared species.
In hydrolysis reaction the differences between the compared methods were less pronounced.
The null hypothesis was that there are no differences between the compared classifiers.
A P-value <0.05 was considered to indicate significant differences between the compared mean values.
Tardigrade adaptation is strong but there are significant differences between the compared species.
However, there were differences between the compared groups regarding their reports on what causes falls.
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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