Excerpts

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 .

Those CpG sites mapping to Alu sequences showed a highly significant trend of increasing methylation from the older to younger elements ( P <2.2x10 -16 , ANOVA), with mean methylation levels (b ± standard deviation [SD]) of 0.72±0.21 for Alu J, 0.74±0.18 for Alu S, and 0.78±0.17 for Alu Y.

A Wilcoxon paired test showed that these results are highly significant (both P < 2.2 × 10 −16 ).

We find a highly significant correlation (ρ = 0.15, P < 2.2 × 10 −16 ) ( Supplemental Fig.

The difference in the comparison of In100-element flanking exons and the control exon pairs is highly significant (Fisher's Exact Test, P<2.2×10 −16 , df = 1; Figure 4 ).

Analysis of application inflow Davies‘ test for significance of breakpoints resulted in a highly significant change in the slope of the participant inflow ( p -value < 2.2e − 16 ).

Spearman’s correlation of the methylation levels obtained for the fully methylated and unmethylated HBV controls with Nanopolish and Guppy+Medaka indicated a highly significant correlation ( R =0.83, P <2.2 −16 ) ( Fig. 2e ).

We also confirmed highly significant correlations of the patterns of transcriptomic changes (FC of each gene) between cells with homozygous and heterozygous variants ( Figure S18 , p < 2.2 × 10 −16 for both chr7:g.26200781C>T and chr22:g.19179942C>T lines).

4E ) was highly significant ( P < 2.2 × 10 −16 for DHSs and P = 3.9 × 10 −16 for TSSs, Spearman’s rank order correlation).

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.

Figure 8 shows a highly significant inverse relationship between the developmental rank of a gene and its overexpression frequency ( p < 2.2e-16).

Kruskal-Wallis tests revealed a highly significant increase in CNVs in these epithelial tissues compared with the B cells (P<2.2×10 −16 ), indicating that they could be considered tumor cells.

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

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

Regression analyses indicate a highly significant relationship between PSC accuracy ( cf . empirical species richness) versus wia ( F 1,8190 = 5615, adjusted R 2 = 0.4067, p < 2.2e−16; Figure 4a ), whilst the relationship weakens when positive (WIA) and uninfected (uWIA) predictions are combined ( F 1,8190 = 1933, adjusted R 2 = 0.1909, p < 2.2e−16; Figure 4b ).

Our results demonstrate that subtype indicators are highly significant in predicting survival ( 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).

The difference was also highly significant ( p < 2.2 × 10 −16 ) when comparing the covariance of within blocks and independently changing environments.

By linear regression analysis, the correlation between the two are highly significant (Spearman's rank correlation = 0.83, P-value <2.2×10 −16 ).

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).

The overall model including all predictors was highly significant for both, the plaque size in the aortic root and BCA (BCA: F(4, 94) = 37.44, p-value < 2.2e-16 r2 = 0.60; heart: F(4, 81) = 65.09, p-value < 2.2e-16, r2 = 0.75).

However, of those that overlapped, there was a highly significant enrichment for effect direction concordance (i.e., increased binding with increased accessibility; OR = 18.0, P -value < 2.2 × 10 −16 ), suggesting replication across these distinct studies.

Thus, because there are three possible replacement nucleotides per site, WC sites are ∼66% saturated and nWC sites are ∼90% saturated, and this difference is highly significant ( p <2.20×10 −16 , Binomial test; see Materials and Methods for details).

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 ).

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