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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.
Similar observations were made also in the other dataset pairs (Additional File 2).
For each of the randomized dataset pairs, we estimate the coverage.
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First, we utilize a publicly available dataset pairing drugs with their observed ADRs.
The average LNS for each matched dataset pair was calculated.
Dataset pair T is from dataset GSE3068 of Gene Expression Omnibus (GEO) database.
Dataset pair T includes 4765 genes in 10 disease samples and 10 normal samples.
The results with the E-MAP being one of the datasets were in many cases drastically different from that with the SGA - GIM dataset pair.
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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