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The agreement of measured and predicted datasets was good for both models, as measured using various statistical parameters.
These examples have been chosen because (1) the datasets are good and (2) both type 1 and type 2 phreatic eruptions are illustrated.
The quantitative agreement between the EI- and PI-datasets is good.
The authors have not addressed this issue at all, and simply assume that their dataset is good enough.
Thus, we conclude that the overall quality of the produced segmentation maps for the rat brain dataset is good.
The imputed ratios of the microarray datasets are all less than 50%, it seems to be reasonable to assume the imputed dataset is good enough to analyze the gene regulatory network.
While the correlation with the Broad dataset was good (r = 0.73), our data correlated less well with SYDH dataset (r = 0.46).
As with the galactose utilization dataset, there is good block structure, although in this larger dataset there are some high-level GO terms that are significant in more than one cluster.
However, the distribution of directed Granger Causality in both datasets is in good approximation exponential, and the connectivity matrices in both cases are fairly symmetric.
He emphasized that an initial screening of datasets by principal component analysis is good for catching such artifacts.
In practice, one can employ our tool, GEC, to quickly estimate the Me in an specific imputed GWAS datasets given the imputation quality is good.
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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