“highly significant”

The concordance score based on the χ 2 -test is highly significant (p < 2.2e-16), and the overall accuracy to clinical types is 71.6%, as measured by rand measure, a metric for the percentage of agreement on a pair of samples belonging to the same group.

Formal testing using ANOVA demonstrates highly significant differences between our non-overlapping sets of CpGs with respect to the ICCs from the Higgins-Chen et al. main analysis ( p < 2.2e-16).

The traits are much more correlated in both twin groups than in twin-spouse pairs or unrelated individuals (all comparisons were highly significant, p < 2.2e16).

glaberrima are ∼99.5% identical on average, the differences in sequence conservation between promoters and intergenic sequences are small, but the large sample size assures that they are highly significant ( P value <2.2E−16).

In addition, the correlation between gene expression and TF binding was highly significant ( P = 2.2× 10 −16 , see Additional file 1 Supplementary Methods) and the likelihood of a TF complex near transcriptionally active genes showed that the TF complexes are most likely located -1kbp to 0.5kbp around TSS (Fig.

3C ), with the Kolmogorov-Smirnov test revealing a highly significant difference in the two distributions (p = 2.2×10 −16 ).

SNPs rate at GRDs (rate = 0.053 synonymous SNPs per site) was 36% higher than this rate at GRSs (rate = 0.039 synonymous SNPs per site), and the difference was highly significant (Wilcoxon rank test: P < 2.2 × 10 −16 ).

The coefficients derived from the linear regression of each sample pair were highly significant ( P -value <2.2e-16), and the quality of the fit was assessed using R 2 and regression coefficient values ( Fig. 6B and C ).

83.36%, respectively), although the difference was highly significant (two-sided Brunner–Munzel paired-rank test, P < 2.2 × 10 −16 ).

These tests were all found to be statistically highly significant, with p < 2.2 × 10 −16 .

The analysis revealed a highly significant enrichment ( p < 2.2 × 10 −16 ) of QTLs within CNVRs.

Despite the difference in patient population and array platform, the correlation between PLK1 mRNA expression and DNA damage accumulation signature was highly significant in both datasets ( p < 2.2×10 −16 for both the TCGA and REMBRANDT dataset).

Results show that the correlation between PADI2 and HER2/ERBB2 overexpression is highly significant across the luminal, basal-NM (non-malignant), and claudin-low cell lines (rho = 0.828, p = 2.2 × 10 -16 ) (Figure 3 ).

We observed a very weak but highly significant correlation in synonymous heterozygosity between species (Pearson’s r = 0.14, p<2.2e-16), consistent with some degree of conservation for genic parameters of mutation rates and/or selection at Drosophila synonymous sites [ 58 , 70 – 74 ].

Pearson's Chi-squared test showed that this difference is highly significant ( P < 2.2e − 16).

However, all correlations were highly significant ( P < 2.2E-16).

Biological age showed a highly significant Pearson’s correlation with chronological age of 0.98 ( p -value < 2.2e − 16) (Fig. 2 a).

Interestingly, pairwise comparisons of the data from each analysis yielded highly significant positive correlations (Pearson’s test, P < 2.2 × 10 −16 ) ( Figure 3 ; Supplementary Table 3 , available online).

While the difference between cases and controls is not significant (empirical P =0.070), we observe a highly significant overlap within each group ( P <2.2e−16 for cases and P =4.44e−16 for controls, Supplementary Methods , hypergeometric overlap test).

The two-way ANOVAs demonstrated highly significant differences between the strains ( Pdyn F 1,216 = 79.25, p = 2.2×10 −16 ; Penk F 1,213 = 60.19, p = 3.54×10 −13 for the strain factor) and a significant interaction of both factors (strain x brain region: Pdyn F 3,216 = 8.79, p = 1.6×10 −5 ; Penk F 3,213 = 5.36, p = 1.4×10 −3 ).

Out of 387 proteins associated with gestational age in human amniotic fluid, 225 (58%) were also associated with gestational age in rhesus and the correlation of effect sizes between the two species in the 225 overlapping false discovery rate (FDR) significant proteins was highly significant (R = 0.75; p < 2.2e–16; Fig. 4 ).

We detected a highly significant positive correlation between F ST and absolute values of α (HV: r = 0.24, p < 2.2e-16; MR: r = 0.24, p < 2.2e-16; Figure 3 ), indicative of relationships between genetic differentiation, divergent selection, and reproductive isolation.

Results from Figure 3 showed a highly significant difference in MIC values among the treatments (χ 2 = 270.89, df = 5, p < 2.2 × 10 −16 ), with a very large effect size (ε 2 = 0.85, 95% CI [0.80, 0.89]).

Food Deserts: In stark contrast, the food desert index showed a strong and highly significant positive spatial autocorrelation (I = 0.4563, p < 2.2 × 10 −16 ).

Similarly, the prevalence of typhoid was notably elevated in Bumbu (91.3%) compared to Bandal (77.4%), with a highly significant X 2 result ( p < 2.2 × 10 −16 ).