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Interestingly, the same model was observed in the healthy controls.
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The opposite trend, i.e. a decrease in AUC performance of the same five scoring models, was observed for miRNA hairpins from Nematoda and Metazoa.
A seasonal effect on the ratio of within- and between-subject variability was observed when the same model was fit separately for each season.
Once in the clinic, concentrations required to reach maximal effect are less often reached for these same reasons, leading to even fewer saturable models being observed.
In the user-centric model, the same performance was observed.
The computational time is independent of the median read depth due to the model structure; the same performance was observed for a median read depth of 130 and 40 000.
The same behaviour was observed in our model when PrP genotypes were assumed only to be related to scrapie susceptibility (i.e. setting ε3 to zero).
The same pattern was observed whatever the model considered in the analysis.
The same pattern was observed with the logistical model EuroSCORE1 [ 5].
The same interaction was observed in the homology modeling of E. coli NDH-1.
The same trend was observed for the LOTO models, with mean RMSEtest and Rtest values of 0.81 ± 0.16 and 0.72 ± 0.08 pGI50 units, respectively, compared with Menden et al.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com