“highly significant”

This overlap was highly significant as represented by the odds ratio of 38.41-fold over what would be expected by random chance and the p -value < 2.16E-16 (two-sided binomial test).

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).

We observed a highly significant effect of humidity (GLMM: p < 2.2e−16, x 2 = 266.93, df = 4; Table 2 B; Fig. 3 ) on T p of adult flies.

This correlation is also highly significant when averaging polymorphism and divergence within 10-bp adjacent windows ( ρ = 0.50; P < 2.2 × 10 −16 ; fig. 1 ).

We first assessed the variation in gene expression among the three biological replicate samples for each sex and tissue; the correlation values were highly significant between them all (Spearman's rank correlation coefficients of at least 0.95, p-value<2.2×10 −16 ; Figure S1 ).

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).

When examining 92 age‐associated metabolites, the correlation between the age beta coefficient was highly significant ( r = 0.79, p = 2.2e‐16; Figure S2B ), suggesting the reliability of our method. 91 of them changed with age in the same direction, among which 27 were statistically significant.

This revealed a highly significant association between gene age and expression specificity in both species ( D. melanogaster : χ 2 = 1092.66, df = 5, p < 2.2 × 10 −16 ; A. aegypti : χ 2 = 890.74, df = 5, p < 2.2 × 10 −16 ), indicating that stage‐specific genes are significantly enriched for evolutionarily young genes. 2.4.

We detected a highly significant positive correlation between F ST and absolute values of α (HV: r = 0.24, p < 2.2e-16; MR: r = 0.24, p < 2.2e-16; Figure 3 ), indicative of relationships between genetic differentiation, divergent selection, and reproductive isolation.

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).

Given that only 0.6% of all high-coverage sites were within 10 kb of a known imprinted locus, this is a substantial (29.3-fold), and highly significant enrichment of ASHM sites around imprinted regions ( P < 2.2 × 10 −16 , χ2 test).

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.

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

Differences between delta delta G are highly significant (wilcoxon test, p-value<2.2 e −16 ) except for the comparison between bin 6 and 7 and bin 7 and 8.

From 274 qRT–PCR experiments, a highly significant relationship was observed between these qRT–PCR data and stage-matched FPKM values (log 2 (qRT-PCR) versus log 2 (FPKM) linear correlation coefficient = 0.54, P < 2.2 × 10 −16 ).

In Additional file we present a case study (Additional file 1 : Figure S12), in which an asymmetric binding complex (the FOXA1/AR) showed a highly significant 4 bp shift between its components ( P < 2.2x10 -16 according to the Wilcoxon signed-rank test), while symmetrically binding controls show no shift (Additional file 1 : Figure S13), which gives further support to the general applicability of the analysis principle.

Further constraining the thresholds led to highly significant misfits for both positive and negative factors (positive factors, Δ χ 2 397.1, Δ DF 116, p < 2.2E-16; negative factors, Δ χ 2 444.5, Δ DF 52, p < 2.2E-16).

Formal testing using ANOVA demonstrates highly significant differences between our non-overlapping sets of CpGs with respect to the ICCs from the Higgins-Chen et al. main analysis ( p < 2.2e-16).

This targeting is highly significant as compared to the targeted human proteome counterpart (exact Fisher test, p value <2,2×10 −16 ).

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.

Comparing the two sets of genes, we observed a highly significant overlap of 193 genes whose expression was altered by either IL-1β treatment and IL-1R8 deficiency (Fischer’s exact test; P value = 2.2e-16; Pearson correlation coefficient = 0.95; 61.7% downregulated and 38.3% upregulated, Supplementary file 3 ).

In fact, among the 291 genes selected for pad4 , 170 genes are also included in those for sid2 : the overlap was highly significant ( p < 2.2 x 10 -16 , Fisher’s exact test).

The overall model was highly significant [ F (7, 3,992) = 371.3, p < 2.2 × 10 –16 ] and accounted for approximately 39% of the variance in log-transformed cattle infections.

These tests were all found to be statistically highly significant, with p < 2.2 × 10 −16 .

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