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Univariate statistical testing was performed separately on the three sets of localizer-derived ROIs for each visual area.
Correction for multiple testing was performed separately in the unrelated, family and combined data using false discovery rate (FDR – q = 0.2) [22].
Gene set testing was performed separately for up- and downregulated genes on autosomal genes only, using DAVID [ 86].
Correction of the significance level for multiple testing was performed separately for identifying cis acting methylation probes (FDR correction) and trans acting methylation probes (Bonferroni correction).
Correction for multiple testing was performed separately for cis-acting SNPs (0.05 divided by the number of probes) and trans-acting SNPs (0.05 divided by the number of possible combinations (p<0.05/(#p<0.05/417,708).
Similar(55)
Classification and permutation testing were performed separately for the left and right hemisphere and separately for Experiment 1 and Experiment 2. In order to investigate the consistency of correct classifications for each voxel, we calculated the proportion of correct classifications for each voxel across subjects.
A two tailed t-test was performed separately for each condition (food, non-food) and each group (lean, obese) for both periods to determine the effect of insulin.
For each activated voxel (1 voxel = 1 mm3) that corresponded to the activation on the surface (range from −1 to 3 mm), a t-test was performed separately for SO and VS, calculating whether the voxel responded more strongly to the left or the right hemifield condition [26].
The same test was performed separately for each microarray probe.
The test was performed separately for each classification group (i.e., class of toxicity).
In connection with this, a cell viability test was performed separately using PHA-activated peripheral blood mononuclear cells (PBMC).
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CEO of Professional Science Editing for Scientists @ prosciediting.com