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We then used average values over five imputed datasets for the final analysis.
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Secondly, these candidate variables were used in a backward selection procedure on the full dataset for the final selection of explanatory variables.
Finally, we took the union of optimal features for all the ten datasets as the final optimal feature set, which included 1061 GO terms and 8 KEGG pathways (see Supplementary S5).
Due to the low level of polymorphism in the single datasets, the partitions used for the final analyses were: 1) ITS + EIF3E, 2) MIR168a + MIR168b.
Hence, although the same attributes are used for each dataset, the final attributes used for modeling are different.
This dataset was solely used for the final evaluation of our NetTurnP method.
The M-value and the average log-intensity (A) for the final datasets are shown in Figure 1 by means of an MA-plot [23].
Yu et al. used k-means as the base clustering on subspace datasets and graph-cut algorithms for the final clustering [ 2].
Box and whisker plots were made for the final dataset, which contained all SRD values for every dataset and similarity measure (SRDall).
Assessment of compliance with complete protection criteria for the final dataset was reconfirmed in all cases by one person.
SSRs recorded for the final dataset included dimers to hexamers of at least 20 bp in length.
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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