“highly significant”

The power of per-gene testing was constrained by sample size, but results were highly significant (Fisher Exact p-value < 2.2e-16) when variants were combined across all genes [Table S8].

The overestimates were highly significant (1-tailed paired t -test, t = 26.60, df = 519, p < 2.2 −16 ).

Using an extended unfiltered set of open regions as background for Fisher’s exact test, both overlaps were found to be highly significant ( p value < 2.2e−16), with a slightly higher odds ratio for the modified protocol (13.15 vs. 10.75).

The correlation coefficients were relatively low (0.325, 0.323, 0.321, 0.312 and 0.250 at the PARTE temperatures of 23, 30, 37, 55 and 75°C, respectively) but highly significant (all P -values < 2.2e-16).

Somewhat surprisingly, we found a reasonably strong and highly significant correlation between these values ( R =–0.28, p<2.2e-16).

When comparing the log 2 FCs obtained for all genes and contrasts between qRT-PCR and array we found a highly significant correlation (pearson correlation of r = 0.96, p = 2.2e -16 and an R 2 = 0.92).

Zymo) (Additional file 1 : Figure S1A), with a highly significant correlation observed in both the prefrontal cortex (Additional file 1 : Figure S1B; R 2 = 0.99, P <2.2E-16) and cerebellum samples (Additional file 1 : Figure S1C; R 2 = 0.99, P < 2.2E-16).

The two-factor Anova analyses using genomic distance types (intra- vs inter-zone configuration) and geographic zones as explicative variables of genomic distance were highly significant (p < 2.2 x 10 −16 ) for all comparisons, except for the general distances distribution between continental and islands species (2 Zones– Fig 3 ; 4 Zones– S3 Fig ; 6 Zones– S4 Fig ).

andersonii (tested via independent samples Wilcoxon rank-sum test), while its F is value was also significantly lower ( P < 0.05).Furthermore, verification of Rarefied Allelic Richness (Ar) via the Kruskal-Wallis rank sum test revealed a highly significant difference between the two species (chi-squared = 1770.3, df = 1, P < 2.2e-16), confirming that the genetic diversity of B. andersonii is robustly higher than that of B. tianguii even after standardizing sample sizes ( Figure 3 ). 3.3.

The overlap was highly significant, with 30% (1095/3647) of SEM CpGs found to be among NRBC-associated CpGs ( p < 2.2E−16).

2 A), which was still highly significant ( p = 2.2e-16) due to the number of data points.

A binomial test confirmed that this enrichment was highly significant ( p < 2.2 × 10 − 16).

Comparison using a paired t-test for R s from the predictive model and their corresponding permutated variant indicated a highly significant difference between both model types ( p -value < 2.2 × 10 −16 across cases), indicating that these model predictions are extremely unlikely to be due to chance.

Since this group represents 13% of the upstream regions in the genome, this is a highly significant enrichment ( Fig. 6c , Fisher's exact test, P < 2.2 × 10 −16 ).

Remarkably, we observed a highly significant negative correlation between B cell levels and HEUScore among all immune cell subtypes ( r = -0.8857, P < 2.2e-16) ( Figure 5G ).

A highly significant statistical difference (X-squared = 1715.4, df = 180, p -value < 2.2 × 10 −16 ) was found between the frequency combinations of the two haplotype sequences. 3.5.

In addition, CREB1 is the top upstream regulator of the 465 overlapping differentially expressed genes (see previous texts) and there is a highly significant, negative correlation ( r = − 0.91, p value = 2.2E−16) between the fold changes for these genes—including the 58 direct CREB1 target genes—in the two comparisons (Supplementary Fig. 3 ).

As expected, we observe an excess of sites with high values of -ln(PIP n ) in real data, whereas the number of sites that show a medium value of -ln(PIP n ) is higher for the simulated data; results are highly significant (Kolmogorov-Smirnov test, p < 2.2e -16 for both datasets).

The test revealed a highly significant enrichment of immune-related genes among the predicted candidates (p < 2.2e-16), with an estimated odds ratio of 48.6 (95% confidence interval: 31.6–78.3), indicating that immune genes were substantially overrepresented in the iM candidate list compared to housekeeping genes. 3.2 Validation of candidates To evaluate the iM-candidates, data from the GSE227616 dataset were compared with the identified candidates.

This difference in size between the three types was highly significant for both length ( F = 328.7, df = 368, p = 2.2e‐16) and weight ( F = 478.2, df = 368, p = 2.0e‐16), with highly significant differentiation between even the closest two types (kokanee and hybrid; length: F = 20.3, df = 301, p = 9.51e‐0; weight: F = 44.61 df = 301 p = 1.16e‐10).

Subsequent statistical analysis revealed a highly significant ( p < 2.2 × 10 −16 ) cell cluster composition between the baseline sample NI Day + 0 ( n = 217 cells) compared to differentiated samples S Day + 15 ( n = 577 cells) and SON Day + 15 ( n = 400 cells) as well as between the differentiated samples ( Figure 3 C, Table S5 ).

Thus, because there are three possible replacement nucleotides per site, WC sites are ∼66% saturated and nWC sites are ∼90% saturated, and this difference is highly significant ( p <2.20×10 −16 , Binomial test; see Materials and Methods for details).

The difference in the location of the median for the success statistic distributions obtained using the two approaches was highly significant ( p < 2.2e‐16) for all three drugs and showed that the PopPK approach performed significantly better than a standard NCA approach.

Moreover, the relationship between the two methods of load estimation was highly significant (F 1,72 = 2420, p = 2.2 × 10 −16 ), and the slope was not significantly different from 1 (0.96, 95% CI [0.97, 1.05]), supporting the hypothesis that only Wolbachia w Sc1 and w Sc2 circulate in the S. cleopatrae flea populations.

The difference between the nuclear area of cells from infected and uninfected plants was highly significant (based on the Brown–Mood median test, p = 2.2e-16), and the nuclear area of cells from P. brassicae -infected plants was 2.8 times bigger based on the median size.