Sentence examples for determining significant differences in from inspiring English sources

This pattern is clearly compatible with the adoption of different strategies in relation with gender determining significant differences in performance.

We repeated this analysis with different cut-off p-values (for determining significant differences in gene expression) and found that this pattern remains significant down to a p-value of 0.001 (below which there are insufficient data for meaningful comparisons).

The thresholds for determining significant differences in gene expression were a FDR (false discovery rate) ≤ 0.001 and an absolute value of log2 Ratio ≥1.

Despite the high levels of distant gene flow reported, matings occur commonly among neighboring trees determining significant differences in the genetic composition of the effective pollen pools received by each maternal tree in a single year [ 15] but also by the same maternal trees among reproductive years [ 17].

This effort yielded up to 31 statistical comparisons for each of the three measured traits, where we employed a Bonferroni correction of α = 0.025 for determining significant differences in t-tests where two clones were tested relative to their common progenitor.

False discovery rate (FDR) <0.05 and an estimated absolute log2 fold-change (log2 FC) ≥ 1 were used as threshold for determining significant difference in gene expression between the purple- and white flesh tubers of yam.

The chi-square test was used to determine significant differences in the ARI scores among the different groups.

The chi-square test was performed to determine significant differences in the ARI scores among the different groups.

The chi-square test was used to determine significant differences in the adhesive remnant index scores among different groups.

One-way ANOVA was used to determine significant differences in the fish yield parameters among the different groups; thereafter, the differences between the groups were checked by Tukey's Multiple Comparison Test.

Significance analysis of microarrays (SAM) was used to determine significant differences in gene expression between samples and the control.