“highly significant”

The polarity score analysis of all expressed ORFs revealed a small but highly significant shift of ribosomes toward the 5′ end of ORFs when RPLP1/2 were depleted (mean of the differences = 0.013, P = 2.2 × 10 −16 ) ( Supplementary Figure S12A ).

We further validated the relationship between UMOD and NKCC2, by Taqman qRT-PCR, showing a highly significant correlation of expression (p = 2.2e−16, R = 0.844) (n = 86).

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 ).

This reduction was highly significant with a p -value < 2.2 × 10 −16 ( Figure 2 ).

The difference was highly significant ( p < 2.2 × 10 −16 ), indicating robust epigenetic dysregulation of the SYTL4 locus in breast cancer ( Figure 2 A).

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 ).

This difference in the proportion of homologous genes between preferentially sporophyte expressed and all expressed genes was highly significant in both species according to a chi-squared test ( P. patens : χ 2 df = 1 = 206.16, p < 2.2 × 10 –16 ; F. hygrometrica : χ 2 df = 1 = 384.73, p < 2.2 × 10 –16 ).

Additionally, we found 1753 highly significant H2A.Z peaks that were dependent on nrp1-1 nrp2-2 ( p -value < 2.2e-16) (Fig. 3c ).

As expected, the true members of clusters correspond to highly significant P -values that are skewed toward to 0 (double KS test P -values < 2.2 × 10 − 16 ).

The results indicated highly significant Pearson correlation coefficients of −0.82, −0.68, −0.78, and − 0.71, respectively, with P -values < 2.2e-16 ( Fig. 3B-E ).

Multivariate linear regression analysis detected a highly significant association between blood-based DNAm-age acceleration and ALS age of onset (adjusted p value = 2.2E-16, B = − 1.29, R 2 = 0.33, n = 249) (Supplementary methods, Fig. 1 a), suggesting that for every 5-year increase in DNAm-age acceleration there is a 6.4-year earlier onset.

In the wild fish, as well as in the Nadia strain, the chi-square P values are highly significant ( P < 2.2e-16), and one sees a clear bias in favor of G/C to A/T for the low-frequency class alleles and a bias in favor of A/T to G/C for alleles occurring at high frequencies, both expected under gBGC ( Glemin et al. 2015 ).

Finally, we observed a highly significant increase (one-sided Student’s t -test, p = 2.2 × 10 −16 ) in average epistasis values in the winning CR genotypes compared with the overall population, indicating that positive epistasis plays an important role in determining the fittest genotypes in this selection (Fig. 5b ).

Interplatform adjustment led to a highly significant increase in ICC coefficients (median (prior to interplatform adj., only intraplatform adj.) = 0.1; median (after interplatform adj.) = 0.46; P < 2.2 e − 16).

This difference of 44,043 bp is highly significant (χ2 = 30823.1, df = 3, p-value < 2.2e-16) and corresponds to a 61 % increase of the S. latifolia chromosome size as compared to S. vulgaris .

Overall, we observed a modest but highly significant correlation of predictions with both these regulatory prediction scores reported by DeepSEA (multi-tissue: r = 0.227, p<2.2e-16; PanIslets: r = 0.223, p<2.2e-16) ( Figure 3—figure supplement 1 - AB ).

The sequencing data showed highly significant expression correlation with the array data ( R = 0.88, p < 2.2 × 10 −16 ) for 101 genes whose expression was significantly altered in KO mouse (Table S3 and Figure S8 ).

The concordance in pathway deregulation was maintained at the gene level, as we observed a highly significant correlation ( P value < 2.2 × 10 −16 ) between the global change in gene expression in the two mutants compared to the WT ( Fig. 3b ).

The difference in half‐life distribution is highly significant with a p ‐value = 2.2 × 10 −16 (Kolmogorov–Smirnov test).

CXCL17 was the only chemokine or chemokine receptor in the top 250 most significantly differentially expressed genes and showed a highly significant positive correlation with B7-H4 mRNA expression (Spearman Rho = 0.53; p = 2.2 x 10 −16 ) (Supplementary Figure S8).

We observed a highly significant deviation from the expected distribution (Chi-squared test, p < 2.2 × 10 –16 ), indicating strong cell-type-specific expression patterns.

A focused analysis of the TCGA-STAD cohort confirmed a highly significant and robust positive correlation between SOX9 and TRAIP mRNA levels (Fig. 2 B, right panel, R = 0.427, p < 2.2e-16).

Among these were 20.0% of the genes upregulated in XY° males (993 out of 4973) versus 40.8% of the genes upregulated in XX females (3856 out of 9472) in at least one developmental stage (FDR < 0.05), a highly significant difference ( χ 2 = 330.0, p < 2.2e−16).

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 ).

Notably, while the in vitro and the denatured control samples slightly but significantly anticorrelated (average PCC = −0.07, Edgington-combined FDR-adjusted P -value = 3.3e–6), a moderate yet highly significant correlation was instead detected between the in vivo and the denatured control samples (average PCC = 0.18, Edgington-combined FDR-adjusted P -value < 2.2e–16).