“highly significant”

At the nucleotide level, the nonrandom distribution among these genomic categories is highly significant ( P < 2.2 × 10 − 16 in a χ 2 test for independence).

The Spearman’s rank correlation coefficient of 0.74 between all d(fl, endo, g) and d(com, endo, g) scores is highly significant ( P = 2.2e −16 ), reflecting resemblance in genome size and signal peptide content of free-living bacteria and commensals.

all clusters, and highly significant p-values for both directions (lesser and greater, p-value < 2.2e-16) are recorded.

Results Descriptive statistics Samples differed in average symptom endorsement: Patients in Data Set 4 had the most severe symptomatology, followed by Data Set 1, Data Set 2, and Data Set 3 (see Table 1 ). Except for the comparison of Data Set 1 with Data Set 2, t (840.15) = 1.62, p = .11, Bayes factor = 0.26, 3 all other differences between the severity scores were highly significant ( t values between 8.51 and 29.29, degrees of freedom between 518.03 and 1417.3, all p values < 2.2 × 10 −16 , all Bayes factors > 4.7 × 10 13 ).

Their overlap of 306 genes is highly significant (Fisher’s exact test p-value < 2.2e-16).

The overestimates were highly significant (1-tailed paired t -test, t = 26.60, df = 519, p < 2.2 −16 ).

The overall distribution of average within-pair DNA methylation differences showed a highly significant skew to the right in ASD-discordant twins ( P <2.2e−16, Kolmogorov–Smirnov test), with a higher number of CpG sites demonstrating a larger average difference in DNA methylation.

This difference was highly significant ( P < 2.2 × 10 −16 ).

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 ).

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).

Results Phenotypic variance decomposition and heritability of partial resistance to bacterial canker Considering differences between all controls and inoculated shoots regardless of the genotype effect, a highly significant effect of bacterial inoculation was observed (Wilcoxon unilateral t.test p < 2.2E-16) for lgc whatever the year and for bs in 2013 and 2015 (lesser extent in 2014 p < 9.77E-12 and 2016 p < 9.06E-06).

Despite major differences in experimental design, including the developmental stage of the worms, the overlap with the single-cell cis eQTLs was highly significant, with 335 cis eQTLs shared between the studies (OR = 7.2, p < 2.2×10 −16 , Fisher’s exact test) ( Figure 3C ).

In contrast, the overall density distribution of 496 protein kinases in the siRNA screen showed a small but highly significant shift ( p < 2.2 × 10 −16 ) towards synthetic lethality with the peak of the density distribution at 0.95 (Fig. 1 c).

However, these correlations were still highly significant ( P values < 2.2e-16 in both Pearson and Spearman correlation tests).

The correlation between ω A MK and DoS was strong and highly significant (ρ = 0.964, P -value < 2.2E-16, n = 10,631, supplementary fig.

A Wilcoxon rank sum test indicated a highly significant difference in fitness variation ( W = 3.2 × 10 8 and P < 2.2 × 10 −16 ), supported by Welch’s t test, which showed a lower mean absolute fitness difference for closely related homologs compared to distantly related homologs ( t = −63.5, df = 7,020, and P < 2.2 × 10 −16 ; table S9).

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

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 ).

Somewhat surprisingly, we found a reasonably strong and highly significant correlation between these values ( R =–0.28, p<2.2e-16).

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).

The rescue of genes found differentially expressed in ∆ Firre CLPs by a Firre transgene produced a highly significant result ( P = 2.2e-16, Fisher exact test); however, we note that the widespread changes in gene expression observed in the CLPs from animals only expressing transgenic Firre RNA could also formally contribute to this effect.

Monthly differences were highly significant (Kruskal–Wallis p < 2.2 × 10 −16 ), and this factor exhibited the strongest seasonal component among the three, with a seasonal strength of 33.77%.

Indeed, by calculating a retention index for each cell type, defined as the Pearson correlation between the two matrices, we observed highly significant retention of pairwise distances for each cell type ( P < 2.2 × 10 −16 ; Extended Data Fig. 10e ).

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 ).

As shown in Figure 4E and Figure S4B , genes that retain H3K27me3 in mutant iPSC showed indeed a highly significant stronger enrichment for this mark in control iPSC cells, both in terms of maximum height and average read density (p-value<2.2e-16, two tailed t-Test).