Your English writing platform
Discover LudwigSuggestions(2)
Exact(2)
These 11 clusters were manually summarized into 7 groups (G1 to G7) based on cluster similarity.
The GWAS catalog (25 August 2011) was manually summarized into 25 categories using the given Disease Trait, Experimental Factor Ontologies (EFO; Malone et al., 2010), and the primary literature.
Similar(58)
The genes were manually summarized by reviewing GO and NR annotation.
The data from individual interviews was manually summarized under each question in the interview guides.
Qualitative information was summarized into different themes that were manually counted into main description of what could have been done better.
Our findings can be summarized into eight key results.
Numerical data was summarized into means, median and standard deviations.
These statistics are summarized into the composite preservation called Zsummary.
The 1000 misclassification rates per algorithm were summarized into quantiles.
These subscales are summarized into Physical and Mental Summary Component scores.
Coded sections were then retrieved and summarized into a matrix.
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