Your English writing platform
Discover LudwigExact(1)
Next, in order to test the generality of the results and to find consistent expression indicators of galling, we analysed the dataset for genes expressed in all of the diverse group of galled samples and absent in all of the ungalled samples (Table 1).
Similar(59)
The purposes of these exploratory analyses are to examine the dataset for indications of a relationship between acid aerosol pollution and human mortality and to compare any noted associations with those for other pollution variables.
We analysed the Eurolight dataset for interictal burden.
Due to large and significant site effects and priority treatment interactions with site, we also analysed the same dataset for each site separately.
We analysed the SABE dataset for all seven cities, focusing on demographic data (age, sex, city), health status (self-reported health status, and presence of chronic disease or condition), functional status (activities of daily living, ADL), depression (Geriatric Depression Scale, GDS) and five levels of active community engagement.
To preserve the independence of observations, which is a prerequisite for most statistical analyses, we used only the first visit of each patient documented in the dataset for most analyses.
All ambiguous sites of the alignments were removed from the dataset for phylogenetic analyses.
These markers were removed from the dataset for GS analyses.
All other cases were excluded from the dataset for spatial analyses.
Identical sequences were not removed from the dataset for these analyses.
All homologs without a correct functional prediction were removed from the dataset for phylogenetic analyses.
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