“highly significant”

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

Despite these differences, δ age and δ PD showed a highly significant positive correlation (r = 0.71, p < 2.2 × 10 −16 , Pearson) ( Figure 4 C), suggesting that the process of decoupling is qualitatively similar and has a comparable genome-wide distribution in HA and PD, although it is more pronounced in the latter.

Likelihood ratio tests reveal a large, highly significant effect of third chromosome line on phenotypic variation in bacterial load against all four bacteria ( S. marcescens : χ 2 = 128.42, d.f. = 1, P <2.2×10 -16 ; P. rettgeri : χ 2 = 263.88, d.f. = 1, P <2.2×10 −16 ; E. faecalis : χ 2 = 51.533, d.f. = 1, P = 7.04×10 −13 ; L. lactis : χ 2 = 35.391, d.f. = 1, P = 2.70×10 −9 ).

CXCL17 was the only chemokine or chemokine receptor in the top 250 most significantly differentially expressed genes and showed a highly significant positive correlation with B7-H4 mRNA expression (Spearman Rho = 0.53; p = 2.2 x 10 −16 ) (Supplementary Figure S8).

For all three species comparisons, a linear regression of %ID and log 2 hybridization ratio showed a strong and highly significant correlation ( D. sechellia : Multiple R 2 = 0.3257, P < 2.2e-16; D. simulans : Multiple R 2 = 0.2920, P < 2.2e-16; D. yakuba : Multiple R 2 = 0.4083, P < 2.2e-16) (Figure 2 ), with the data for D. yakuba showing the strongest correlation.

When comparing the log 2 FCs obtained for all genes and contrasts between qRT-PCR and array we found a highly significant correlation (pearson correlation of r = 0.96, p = 2.2e -16 and an R 2 = 0.92).

Cross‐correlation analysis revealed a highly significant relationship between the number of D calls from the manual validation and automatic classifier (Pearson's correlation coefficient = .991, p < 2.2 × 10 −16 ; Figure A1 ).

These differences, while modest in strength, were highly significant (p < 2.2e-16).

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 .

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

Of note, we observed moderate, but highly significant ( P = 2.2 × 10 −16 , Wilcoxon rank sum test) differences in the methylation levels of genomic features between lung, breast muscle and sperm samples (Fig. 2a ).

One notes highly significant terms for time (β-est. = 0.21, (95%C.I. 0.17, 0.25), p < 2.2 × 10 −16 ), monthly cannabis use (β-est. = 2.97, (1.91, 4.03), p = 8.2 × 10 −8 ), cannabis use quintiles (β-est. = 3.86, (2.45, 5.27), p = 1.2 × 10 −7 ), dichotomized cannabis use quintiles (β-est. = 3.54, (2.19, 4.89), p = 4.4 × 10 −7 ) and time: quintile interactions. 3.4.

Conservation and compensation of phosphosite loss by site-position turnover Surprisingly, despite the low level of site-conservation between paralogous proteins, there is a highly significant correlation in the number of phosphorylation sites between paralogs (ρ=0.35, P -value<2.2 × 10 −16 ; Figure 1B ).

A focused analysis of the TCGA-STAD cohort confirmed a highly significant and robust positive correlation between SOX9 and TRAIP mRNA levels (Fig. 2 B, right panel, R = 0.427, p < 2.2e-16).

Subsequent statistical analysis revealed a highly significant ( p < 2.2 × 10 −16 ) cell cluster composition between the baseline sample NI Day + 0 ( n = 217 cells) compared to differentiated samples S Day + 15 ( n = 577 cells) and SON Day + 15 ( n = 400 cells) as well as between the differentiated samples ( Figure 3 C, Table S5 ).

2 A), which was still highly significant ( p = 2.2e-16) due to the number of data points.

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).

For each month, the differences between soil and soil + root for COS and CO 2 were highly significant (Kruskal-Wallis rank sum test – p < 2.2e −16 ), with higher CO 2 and lower COS emissions in the soil + root chambers (except for February) (Fig. 3 ).

Given this trend, we fitted a logarithmic model to the data, which was highly significant [linear regression F ST ~ log( D a ), P < 2.2 × 10 −16 ; Pearson correlation coefficient, R 2 = 0.96].

DNMT1-Dependent DNA Methylation in Adult Interneurons Affects Degradative Pathways In stark contrast to the comparison of the 18 months old genotypes, we determined a highly significant overlap ( P = 2.2E-16, Fisher’s Exact test for gene set enrichment analysis; odds ratio = 0.434) of 645 genes between young control and Dnmt1 knockout interneurons, which display significant differences in both DNA methylation and gene expression ( Pensold et al., 2020 ).

Furthermore, a linear model comparing the paired connectivity estimates from the 24-particle and 1-particle-per-day scenarios revealed a highly significant (p < 2.2e-16) and remarkably strong linear relationship, closely approaching a 1:1 correspondence (R-squared = 0.999; Fig. 3 ).

Multivariate linear regression analysis detected a highly significant association between blood-based DNAm-age acceleration and ALS age of onset (adjusted p value = 2.2E-16, B = − 1.29, R 2 = 0.33, n = 249) (Supplementary methods, Fig. 1 a), suggesting that for every 5-year increase in DNAm-age acceleration there is a 6.4-year earlier onset.

Before this correction, this correlation was strong and highly significant for the 800 μM HFF-TerT sample (Figure 6B , Spearman's ρ = 0.29, P < 2.2 × 10 −16 , asymptotic t test).

Comparison using a paired t-test for R s from the predictive model and their corresponding permutated variant indicated a highly significant difference between both model types ( p -value < 2.2 × 10 −16 across cases), indicating that these model predictions are extremely unlikely to be due to chance.

Additionally, we found 1753 highly significant H2A.Z peaks that were dependent on nrp1-1 nrp2-2 ( p -value < 2.2e-16) (Fig. 3c ).