Your English writing platform
Discover LudwigSuggestions(5)
Exact(24)
But understanding survival data is not straightforward.
But like so many auto-safety issues, interpreting the data is not straightforward.
Collection of sex-disaggregated data is not straightforward and careful attention to context is needed.
However there are inherit differences between animal and human studies and so applying the same techniques for the meta-analysis of preclinical data is not straightforward.
In the case of omphacite, the analysis of the XANES data is not straightforward owing to the presence of a significant dichroism effect and to the random orientation of the different grains in the mineral assemblage.
Finding comparable international health data is not straightforward.
Similar(36)
Secondly, due to the highly variable cluster sizes the statistical analysis of our data was not straightforward.
The application of an automated scheme to our data was not straightforward because the single-molecule data often featured low SNR ratios.
Whereas Tan et al. data were not straightforward comparable with our results due to different sample genetics and ChIP methodology, a dataset comparison with FUS ChIP-seq data from Schwarts et al. was more straightforward [ 24, 30].
This distinction refers to underlying mechanisms in the core fluid flow, and a clear distinction of features observed in individual data series is not straightforward.
Data preparation is not straightforward because functional terms are related and proteins may have more than one annotation.
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