Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
S predictions were high across the midwestern and eastern states and in the Los Angeles area, and lower in the plains and mountains.
Similar(59)
Both numerical EC3 predictions were higher and on the unsafe side when compared to experimental corresponding loads for empty steel samples.
For composite stubs, the load carrying capacity increased significantly; the EC4 numerical load predictions were higher in the higher range 300 500 mm and lower in the higher range 50 200 mm.
Although the results of MUT were poor, in BRCA and LUAD the predictions were higher than in OV and GBM even though we used more genes in those cancer types.
Even so, while sensitivity of the predictions was high at 89 % (Table 1, raw results) the positive predictive value (PPV) was still low at 37%% (Table 1, raw results).
The quality of predictions is high and captures relevant observed inter- and intra-individual variability.
The degree of overlap among the predictions is high, an indication for the stability of the approach and the validity of changing the parameters by the user.
As an alternative, Kutner et al. [25] suggest to use a cut-point value such that the proportion of incorrect predictions is lowest (or the proportion of correct predictions is highest).
However, the number of core genes in both predictions is higher when compared to the previous reports [11], [12].
Apparently, the weighted sum of domain predictions is higher than the whole-chain GDT-TS for this example.
The average error of Tm predictions was higher for these duplexes (2.7 °C) than the error seen for the set of VAL-01 VAL-33 VAL-01 VAL-33 VAL-01 VAL-33
Write better and faster with AI suggestions while staying true to your unique style.
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