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First, we utilize a publicly available dataset pairing drugs with their observed ADRs.
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Importantly, the benefits of protocols and systems for systematically combining datasets, pairing variables and applying harmonization strategies have been explored previously [ 46].
Figure 27 shows the time spent comparing the dataset pairs.
Table 5 lists the features of the dataset pairs tested in this experiment, where all datasets have 240 bnodes.
In the construction of the dataset pairs, the number of bnodes varied between 20,000 and 100,000, in fixed steps of 20,000.
Combined, these results suggest that in this dataset pairs of immune indices are weakly and inconsistently correlated among waterfowl species.
The average LNS for each matched dataset pair was calculated.
Dataset pair T is from dataset GSE3068 of Gene Expression Omnibus (GEO) database.
Similar observations were made also in the other dataset pairs (Additional File 2).
Dataset pair T includes 4765 genes in 10 disease samples and 10 normal samples.
For each of the randomized dataset pairs, we estimate the coverage.
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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