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Normalization factors per sample were calculated using the geometric mean of the most stable combination of these normalization assays, determined by the measure of their pairwise variation as calculated by geNorm[ 14].
The standard errors of the difference between sample means were calculated using the error mean square from the ANOVA.
Mean of realized accuracies calculated using the mean heritability estimate across all bootstrap samples within analysis.
The genome size of each sample was calculated using the mean diploid (2C) genome size of the Arabidopsis Landsberg ecotype, estimated to be 0.32 pg [43], for comparison.
Cut-offs were calculated using the mean optical density readings from negative sample plus twice the standard deviation of negative samples.
Sample size was calculated using the mean (±standard deviation, SD) of GLI assessed in 26 consecutive patients treated at our HDU centre with the standard insulin infusion system.
The relative recovery (RR) was calculated using the mean of the 2 first microdialysis samples, collected from time 00 00 to 00 05 and from 00 05 to 00 10, and the arterial blood sample collected during the same period.
Fold changes for each biological replicate were calculated using the mean expression values from the immature brain samples.
Deviations were calculated using the mean and standard deviation of each gene across normal samples.
The adjusted cycle threshold (Ct) values were calculated using the equation: 40 – [Ct sample gene mean + (Ct 28S median – Ct 28S mean)(slope of sample gene/slope of 28S)].
One of the measures of variable importance is the mean decrease in accuracy, calculated using the out-of-bag sample.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com