“highly significant”

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 ).

Given that only 0.6% of all high-coverage sites were within 10 kb of a known imprinted locus, this is a substantial (29.3-fold), and highly significant enrichment of ASHM sites around imprinted regions ( P < 2.2 × 10 −16 , χ2 test).

Pearson correlation analysis of these whole‐sample average expression profiles revealed highly significant correlations between replicates (Peach: r = 0.94, p < 2.2e‐16; Nectarine: r = 0.91, p < 2.2e‐16), with LOESS regression confirming the linear relationship (Figure S15A ).

For each month, the differences between soil and soil + root for COS and CO 2 were highly significant (Kruskal-Wallis rank sum test – p < 2.2e −16 ), with higher CO 2 and lower COS emissions in the soil + root chambers (except for February) (Fig. 3 ).

Notably, the correlations between differential patterns of H3K4me1/2/3 and H3K27me3 in promoters of genes that were up- or down-regulated in each spermatogonial subtype, respectively, were highly significant (p < 2.2 −16 ) ( Figures S3 A and S3B).

This overall deficiency of heterozygotes was statistically highly significant ( t = 43.322, df = 33,234, p < 2.2e-16), and likely due to population subdivision (see results below).

Besides mean values, the paired t tests of the IASs were highly significant between IASs from different SDs ( p < 2.2 × 10 − 16 ).

This targeting is highly significant as compared to the targeted human proteome counterpart (exact Fisher test, p value <2,2×10 −16 ).

The associations between the type of neoplasm and both the category of lesion and the site of the neoplasm were highly significant at p < 2.2 × 10– 16 (S2).

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 ).

Bartlett’s test of sphericity was highly significant (χ2 = 362.49, df = 11, p < 2.2 × 10 −16 ), confirming that the correlation matrix was not an identity matrix and that the dataset had sufficient inter-variable relationships for factor analysis.

Analysis of variance based on the reparametrized polynomial-interaction model with MPR effects showed a highly significant impact of partial yields on test-day yields ( P <2.2e-16).

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.

All reported correlations were highly significant ( p < 2.2 × 10 −16 ).

A comparison of activation strength in both assays revealed an intermediate (Pearson's correlation coefficient of 0.58) but highly significant correlation ( P < 2.2e−16) of activation values ( Figure 1B ).

In B to A and no-change category, a significant (Fisher’s test p-value = 0.0564) number of genes were found to be changing gene expression, while the number of genes changing expression in A to B and conserved genome category was found as highly significant (Fisher’s exact test p-value < 2.2e-16) ( Figure 4C ).

All fitted models were highly significant ( F 5,122 = 26.1, p -value < 2.2 × 10 -16 with ‖ Δ ^ ̄ − Δ ‖ as response; F 5,122 = 47.7, p -value < 2.2 × 10 -16 with λ ^ ̄ as response; and F 5,122 = 12.1, p -value = 1.6 × 10 -9 with | ε ^ g e n − ε ̃ g e n | ̄ as response); residual plots showed no large deviations from the assumptions of normality of error distribution (an asymptotic normal distribution of the response variables is warranted by the central limit theorem), homoscedasticity, and independent errors (data not shown).

These differences in seed set between the ‘selfed’ and ‘tagged’ treatments between AZ-SC and the SI sites are highly significant ( F = 128, P < 2.2e-16 for selfed; F = 110.4, P = 2.2e-16 for tagged).

The Kruskal–Wallis test revealed highly significant differences between conditions at 0–24 h (H = 147.38, df = 2, p = 2.2 × 10 −16 ) and 24–48 h (H = 121.46, df = 2, p = 2.2 × 10 −16 ).

The final model was highly significant ( p = 2.2e−16), and for all three cancer types IRF1 was identified as a significant explanatory variable for CD274 expression (Table 1 , left 3 columns).

We observed a highly significant difference in the mean correlation values ( P -value < 2.2e-16, lower-tailed Wilcoxon rank sum test), with a median correlation value of -0.15 for the differentially methylated promoters detected by MethylDriver, more than twice as strong as the average association for all promoters ( Supplementary Figure S4 ).

Importantly, the global shift observed with RRP41 knockdown was statistically highly significant ( P < 2.2E−16, Jonckheere trend test) and was not observed with the U2-type introns located immediately up- or downstream of the U12-type introns (Figure 3F ) or in the group of all the U2-type introns in the same genes.

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.

Consistent with previous research [4] , a highly significant correlation occurred between the average DDE score of each bin and the enrichment fold of hits for known DDIs ( R 2 = 0.75, P = 2.2E − 16; Fig. 3 B), indicating a high likelihood that a drug will successfully treat a disease if the drug is capable of strongly perturbing the local module of master genes in the interactome.

S6 , we found a highly significant correlation between amplicon genus abundance PCoA1 and shotgun species abundance PCoA1 (the Spearman’s correlation ρ = 0.881 , p-value < 2.2 × 10 - 16 ).