Your English writing platform
Discover LudwigSuggestions(1)
Exact(10)
The samples were categorized as two groups, normal skin or benign nevi (normal/benign) and melanoma.
The samples were categorized as unmethylated or methylated based on optimal cut-offs from ROC analysis.
Thus, the samples were categorized in either a [PIP+] or a [PIP−] subgroup and used for subsequent analyses.
The samples were categorized in 8 different groups based on heart diseases.
The samples were categorized into four groups 1) UIP, 2) probable UIP, 3) possible UIP or 4) not UIP.
The samples were categorized by high-resolution classification, while about 1300 mtDNA molecules (650 ultranonagenarians and an equal number of controls) were completely sequenced.
Similar(50)
More than half of the samples are categorized as bicarbonate waters as bicarbonate was the dominant anion (Fig. 3b) and in some samples falling near the central zone have no dominant anion.
For the purpose of subsequent descriptive analyses, the sample were categorized into a younger age group (<40 years), middle age group (40 60 years), and older age group (>60 years).
Considering the fact that the majority of non-Saudi dental assistants working in Riyadh are from the Philippines, the educational qualifications of the sample were categorized as dental degree or non-dental degree (all other qualifications).
The sample was categorized as a Class F fly ash (XRF).
Firstly, the sample was categorized as healthy subjects, out-patients and in-patients groups.
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