Excerpts

The overlap among CDF2 and PIF4 target genes was highly significant (Fig. 3h and Supplementary Table 3 ) ( P value < 2.2 × 10 −16 ).

However, the correlation for the estimated allele frequency differences (|AFD|) between humic and clear‐water lakes for both datasets was weaker ( r = 0.27), although highly significant ( p < 2.2 −16 ). 3.2 Genetic Diversity, Differentiation and Population Structure The evaluation of genetic diversity in the pool‐seq dataset revealed higher levels of genetic diversity in clear‐water lake populations than in humic lake populations (Table S2 ).

Indeed, this overestimation was highly significant (1-tailed t- test, t = 9.66, df = 557.16, p < 2.2 –16 ).

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 ).

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

Using an Analysis of variance, we found highly significant differences ( p < 2.2 × 10 −16 ) and a non-parametric Wilcoxon Mann–Whitney test confirmed the significant differences of absolute Spearman correlation in healthy versus diseased samples ( p < 2.2 × 10 −16 ).

The latter explanation is supported, because there is a highly significant between-haplotype component of variation for the trait ( P < 2.2 × 10 −16 for the whole data set; P between 4.1 × 10 −13 [L14] and 0.022 [L06] for the individual MA lines).

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).

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.

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

Of these orthologs, 5,292 genes were located on the autosomes and 942 on the X chromosome, resulting in a highly significant difference in their chromosomal distribution (chi-squared test, p < 2.2 × 10−16).

Indeed, pit-diggers performed ~ 15x more CNN-predicted scoops versus spits within daily bower ROIs and this pattern was highly significant within each subject (CV: 273 scoops vs. 20 spits, χ 2 = 311.35, p < 2.2 × 10 –16 ; TI subject 1: 339 scoops vs. 16 spits, χ 2 = 127.2, p < 2.2 × 10 –16 ; TI subject 2: 602 scoops vs. 60 spits, χ 2 = 377.28, p < 2.2 × 10 –16 ).

There was a highly significant correlation (Spearman’s rho of 0.81, p < 2.2 × 10 −16 ) of the PBMC expression changes 6 h after HIIT and HBO 2 ( Figure 5 D).

There exist only small differences in their declared residence area (zip code), but they are older (median age 35 against 24), more likely men (men proportion 62.9% against 49.9%) and live within the Lyon-Villeurbanne urban area (85.3% against 81.7%, all theses differences are highly significant, p-value <2.2*10 −16 ).

A one-way ANOVA confirmed that the differences among residue classes are highly significant ( F (3, 14,983) = 682.6, p < 2.2 × 10 –16 ), supporting the hypothesis that CDR loops correspond to weakly coupled, energetically uncoupled regions when compared to the structural core of nanobodies.

It is evident from the data that genome size influences the frequency of microsatellites, supported by a highly significant positive correlation between genome sizes and frequency of microsatellites ( R 2 = 0.53 and P -value = 2.2e –16 ) ( Fig. 2D ).

The median Laa value for SCT strain-specific genes (183 aa) was smaller than that for the other genes (280 aa), the difference being highly significant according to a Wilcoxon rank sum test ( p -value < 2.2e-16).

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 ).

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 correlation of the concentrations determined by 1 H-NMR and by quantitative methods were highly significant for both the samples of ccDMEM (Pearson: r = 0.99, p = 2.20 * 10 −16 ) and of vcDMEM (Pearson: r = 0.91, p = 2.84 * 10 −6 ).

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

Further, the concordance of miRNA expression (log normalized) of the common miRNAs was also explored by Spearman correlation and showed a highly significant correlation with rho of 0.81, p<2.2x10 -16 ( Fig 4b ).

A Fisher’s exact test confirmed that this difference is highly significant ( P < 2.2 × 10 –16 ), with an odds ratio of 2.76.

Moreover, not only do we find differences in predictive performance between populations from different continents, we also find highly significant differences in prediction accuracy among the four European ancestry populations considered ( F -test p -value < 2.2 × 10 −16 ).

Strikingly, as in human cells, we found a highly significant correlation between 8-oxodG and γH2AX signals within the mouse genes (Pearson correlation test, r = 0.9; P < 2.2e–16) (Figure 4F ).