“highly significant”

This overlap is highly significant ( P < 2.2e-16), indicating that H3K4me3 levels at a core set of genes provide a fingerprint of overall health in both mothers and children at 1 y of age.

In fact, the least significant (i.e., highest) p -value observed in any factorial ANOVA corresponded to a main effect term (intrinsic disorder in Plants: p = 4.13 × 10 −6 ), while all other terms across all analyses were highly significant ( p < 2.2 × 10 −16 ).

Subsequently, they report “a highly significant correlation (ρ = 0.15, P < 2.2 × 10 −16 )” and conclude that this signals gene flow.

Supporting this hypothesis, a comparison of the mean coverage of the nuwt regions to that of the non-nuwt regions showed a small but highly significant difference between them (Wilcoxon rank sum test with continuity correction, p < 2.2×10 -16 for all 13 samples).

This comparison also revealed highly significant, albeit slightly weaker correlations (Pearson correlation 0.73; P <2.2e-16; Figure S11 ) – similar to the results we obtained for chromosome 1 CNVs.

The beta estimates for these SNPs showed a highly significant linear correlation ( P < 2.2e−16, Fig. 1g, j ).

Highly significant differences in V1V2 length are seen between stage 3 and stages 1,2 and 4 (p<2.2×10 −16 , M-W rank sum test), reflecting V1V2 lengthening in chronic illness, followed by contraction in late disease.

The degree of compartmental conservation is highly significant ( P < 2.2e-16), as ~80% of the genome shows consistent compartmental labeling in at least 16 samples and ~40% is invariant in all 21 samples, in contrast to 7% and 0% to be expected by chance, respectively (Supplementary information, Fig.

Using a pairwise comparison of 5286 genes with adjP ≤ 0.1 for log fold change of WT MR versus WT Con and NRF2 KO MR versus NRF2 KO Con, the correlation of the effect of MR in the two genotypes was highly significant (R 2 = 0.64, p < 2.2 × 10 −16 , Supplementary Figure S2 ).

A Chi-square test comparing the observed and expected frequencies of different types of AA combinations gave a highly significant result for data pooled across phyla (X 2 = 255.35, df = 2, P < 2.2×10 −16 , Table 1 ).

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).

Correlation between tests was highly significant for both tissue types, but stronger for leaf tissue (p <2.2 × 10 −16 ; r = 0.83) than cotyledons (p <2.2 × 10 −16 ; r = 0.72).

This finding of 50% sensitivity (considering only the peaks that strictly overlap a site) is highly significant (Fisher’s exact test; P < 2.2 e –16) and is a strong indication of the quality of the results, all the more so as the literature derived studies were performed in a variety of species and cell types.

Similarly, the differences in length and Alu count of the downstream intron between the predominant A5BS circRNAs and the other A5BS circRNAs were highly significant ( P < 2.2 × 10 −16 ; Figure 4E , F ) while they were much less or not significant for the upstream flanking introns of A3BS circRNAs ( Supplementary Figure S5C, D ).

From 274 qRT–PCR experiments, a highly significant relationship was observed between these qRT–PCR data and stage-matched FPKM values (log 2 (qRT-PCR) versus log 2 (FPKM) linear correlation coefficient = 0.54, P < 2.2 × 10 −16 ).

Based on the comparison of intact to degraded cartilage, the log-fold-changes in RNA expression and the differences in mean promoter region methylation values demonstrated a small but highly significant correlation (Pearson’s r = −0.08, p < 2.2 × 10 −16 , Fig. 2b , Supplementary Table S7 ).

The Pearson correlation coefficients of uniquely mapped reads between biological replicates are from 0.961 to 0.994, which are highly significant ( p -values < 2.2e−16).

We observed a highly significant rate of concordance and overlap between cerebellar expression profiles of Atxn1 −/− and Atxn1 154Q /+ mice (z = 11.9485, P -value<2.2e-16, Kendall-τ test).

Additionally, the P-value for accuracy being greater than the No Information Rate (NIR) was highly significant (P < 2.2e-16), indicating that the model’s performance was far superior to random chance.

For all three species comparisons, a linear regression of %ID and log 2 hybridization ratio showed a strong and highly significant correlation ( D. sechellia : Multiple R 2 = 0.3257, P < 2.2e-16; D. simulans : Multiple R 2 = 0.2920, P < 2.2e-16; D. yakuba : Multiple R 2 = 0.4083, P < 2.2e-16) (Figure 2 ), with the data for D. yakuba showing the strongest correlation.

By linear regression analysis, the correlation between the two are highly significant (Spearman's rank correlation = 0.83, P-value <2.2×10 −16 ).

The lack of parents’ gender information made the genotype combinations of simulated offspring more complex and the PMS more difficult to find, but regardless of gender, the association between PIC and PE was very strong and both were inversely related to PDI ( Table 2 ), with the correlations between the three being highly significant ( p < 2.2 × 10 −16 ).

1c ), which exhibited highly significant hypomethylation ( P < 2.2e-16; Fig. 1d ).

Statistical analyses showed that Pearson’s χ 2 test with Yates’ continuity correction had a χ 2 statistic of 34,319 with 1 df, indicating a highly significant association (p<2.2e−16).

This shift was highly significant as determined by the Mann-Whitney-Wilcoxon Test ( P <2.2*10 −16 ).