Excerpts

We found highly significant strong positive correlation between the RNA-seq and qRT-PCR data (Pearson’s r=0.954, p <2.2e-16) (Figure 5 ).

The overlap was highly significant (Fisher’s exact test P value <2.2 × 10 −16 ).

A total of 190,678 gene pairs had at least one TSG, and the difference in p -values between pairs with TSGs and with no TSGs was highly significant ( Figure 3 , Wilcox rank-sum test p -value < 2.2 × 10 –16 ).

The Wilcoxon–Mann–Whitney test confirmed that these differences were highly significant ( p -value < 2.2 × 10 −16 ). 3.3.

The overall percentage of HG disease was highly significant, with a hazard ratio of 4.45 for the interquartile range (95% confidence interval 3.30–6.01, P < 2.2 × 10 −16 ), and was similar to the percentage of HG disease seen in the worst core.

IAPs are specific targets of Dnmt1’s de novo activity Next, we compared the DMR distribution over genomic features and found a highly significant enrichment at LTRs, which is independent of regional CpG density ( P < 2.2 × 10 −16 , Wilcoxon test, DMRs compared with CRs; Fig. 2e and Extended Data Fig. 2b ).

RNA-seq and CAGE of CdLS neurons showed highly significant overlap (Odds ratio = 11.86, P < 2.2e-16).

Before harmonization, a Type III ANOVA revealed a highly significant site effect on global mean connectivity (F(12, 623) = 9.65, p < 2.2 × 10 −16 ).

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

Pearson's Chi-squared test showed that this difference is highly significant ( P < 2.2e − 16).

The correlation coefficients were highly significant in each case (PrEC: r = 0.80, p < 2.2e−16; LNCaP: r = 0.91, p < 2.2e−16; NPF: r = 0.84, p < 2.2e−16; CAF: r = 0.95, p < 2.2e−16), but not completely concordant with WGBS data (Additional file 5 : Figure S4A).

The two-factor Anova analyses using genomic distance types (intra- vs inter-zone configuration) and geographic zones as explicative variables of genomic distance were highly significant (p < 2.2 x 10 −16 ) for all comparisons, except for the general distances distribution between continental and islands species (2 Zones– Fig 3 ; 4 Zones– S3 Fig ; 6 Zones– S4 Fig ).

When miRNA expression levels were averaged for tissue type across animals within the groups, Spearman’s rank correlations between PBMCs and the brain regions are all highly significant ( r s = 0.47–0.57; P < 2.2 × 10 –16 ), although pairwise correlations among the brain regions are markedly stronger ( r s = 0.86–0.99).

That is, traits within a group (e.g., both traits related to pigment level) are more highly significant (p < 2.2e-16 to 0.11, average p = 0.0041) than the significance is of correlations between groups (e.g., one trait is pigment level and another is patterning, p = 4e-13 to 0.99, average p = 0.148) ( S4 Table ).

There was, however, a highly significant correlation between change in TE score and GC content (Pearson’s correlation value of −0.1337, p-value<2.2e −16 ) ( Figure 1I ).

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

Food Deserts: In stark contrast, the food desert index showed a strong and highly significant positive spatial autocorrelation (I = 0.4563, p < 2.2 × 10 −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).

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).

Comparison of variance in global methylation between the depressed twin and their unaffected co-twin revealed a highly significant increased genome-wide variance in twins with MDD in both the UK and Australian cohorts ( P < 2.2 × 10 -16 in both datasets).

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 ).

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).

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).

A binomial test confirmed that this enrichment was highly significant ( p < 2.2 × 10 − 16).

A comparison of frequencies with Pearson's chi-squared analysis showed a highly significant increase of negative probes in the immune group ( p < 2.2e − 16).