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Pairwise analyses identified significant differences between triterpene saponin levels of root samples in different years (P ≤ 0.01), with the exception of R1 levels between 2y and 1y roots.
These analyses identified significant differences between PaC patients and controls at 110 CpG sites in 92 independent genes (FDR ≤0.05).
Bivariate analyses identified significant differences between race/ethnicity and use of health services.
Neither unadjusted nor adjusted analyses identified significant differences in odds of leptin levels being below the median between groups.
Microarray and pathway analyses identified significant differences in inflammatory mediator expression between Il10+/+ and Il10−/− mice in response to O3 and suggested novel genetic targets [e.g., cathepsin E (Ctse) and serum amyloid A3 (Saa3)] affiliated with Il10 expression and response to environmental oxidant exposure.
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Our glycan array analyses also identified significant differences in the ability of C. jejuni 11168 to bind to Neu5Ac-containing glycoconjugates, with Neu5Ac-binding being affected not only by the growth/maintenance conditions, but also the isolate (11168-GS or 11168-O).
Chi square tests in R v.3.1.2 (http://www.R-project.org) identified significant differences in protein abundance levels between GC and KN for various KEGG categories/pathways (herein these analyses will be referred to as protein count analyses).
The log-transformed data were analyzed by ANOVA, followed by Tukey unequal N HSD analyses to identify significant differences between treatment groups.
Comparisons among multiple groups were made using one-way or two-way ANOVA, with Bonferroni's post hoc analyses to identify significant differences between groups.
Likewise, regression analyses failed to identify significant differences of mercury effects in boys and girls [ 5].
Second, univariate analyses were used to identify significant differences in variables for patients with severe and nonsevere disease.
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