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To compare the randomness between groups, we computed the absolute differences between the left and right side of eq. (7) in terms of standard deviations of the left side.
To statistically test the degree of differentiation in palatal shape between groups, we computed the Mahalanobis distances between all possible pairs of groups (Klingenberg and Monteiro, 2005).
To evaluate the distribution of SNPs where allele frequency differed significantly between groups, we computed the pairwise differences in major allele frequency among the three HapMap groups.
In the absence of heterogeneity between groups we computed overall relative risks by weighting the counts of the control group according to the size of the corresponding treated groups for studies that contributed data for multiple procedures.
We found that different groups of animals reared a varying amount; therefore in order to normalize differences between groups, we computed and compared data as a percentage of the baseline sessions.
To evaluate the clinical significance of the differences between groups, we computed effect sizes (ES statistic) by dividing the mean difference in scores by the SD of the QOL scores of the general female population cohort [ 11].
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In order to identify distant sequence similarities between precursor miRNAs from different paralog groups we computed a similarity score based on the significance of the alignment score: The identity score s(I, J) for the pairwise alignment of two precursor miRNAs I and J was computed using the implementation of the fast approximate Wilbur-Lipman algorithm [ 67] from the clustalw program.
For all three groups, we computed the difference between proportions of male newborns of mothers with HD and comparison mothers.
For both groups we computed the correlation between the CTCF signal in a ±1 kb window from the TSS and the HM and TF signal upstream or downstream of the TSS, respectively.
To reward difference between specificity groups, we compute for each group the average similarity (according to the matrix) of all amino acid pairs containing one amino acid in the group and one not in the group.
In order to explore differences between user groups, we have computed intra-class correlation coefficients for user groups within the Netherlands only.
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between groups we conducted
between measures we computed
between tissues we computed
between platforms we computed
between conditions we computed
between groups we tested
between groups we treated
between groups we asked
between nestlings we computed
between chromosomes we computed
between groups we measured
between groups we employed
between modalities we computed
between groups we identified
between hemispheres we computed
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