Excerpts

A highly significant statistical difference (X-squared = 1715.4, df = 180, p -value < 2.2 × 10 −16 ) was found between the frequency combinations of the two haplotype sequences. 3.5.

Although correlation is less than observed for the H3K4me3 replicates, many H3K4me3-positive loci are bound by TBP and the correlation is highly significant (r = 0.40, p<2.2 * 10 -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.

In the wild fish, as well as in the Nadia strain, the chi-square P values are highly significant ( P < 2.2e-16), and one sees a clear bias in favor of G/C to A/T for the low-frequency class alleles and a bias in favor of A/T to G/C for alleles occurring at high frequencies, both expected under gBGC ( Glemin et al. 2015 ).

The observed overlap was highly significant ( P value < 2.2 × 10 −16 ), indicating strong concordance between the 2 datasets.

The difference in heteroplasmy between sexes was highly significant (129/0 males and 570/32 females,Chi-Square test, p- value < 2.2 × 10 −16 ) and corroborates results from a previous study 24 .

The overall model was highly significant ( F (5, 182) = 26.86, p = 2.20 × 10 −16 ), with an adjusted R 2 of 0.409, explaining 40.9% of the variation in the hematocrit retention ratio.

Comparing the probeset response slopes predicted by our model with the slopes obtained from the Affymetrix tissue panel data, we detected a highly significant correlation both in mouse and human (Pearson correlation coefficient in mouse 0.528, P << 2.2 × 10 −16 , and in human 0.468, P << 2.2 × 10 −16 ).

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

Importantly, the global shift observed with RRP41 knockdown was statistically highly significant ( P < 2.2E−16, Jonckheere trend test) and was not observed with the U2-type introns located immediately up- or downstream of the U12-type introns (Figure 3F ) or in the group of all the U2-type introns in the same genes.

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 ).

This overall deficiency of heterozygotes was statistically highly significant ( t = 43.322, df = 33,234, p < 2.2e-16), and likely due to population subdivision (see results below).

Our results indicated that 48.1% ( n = 11,422, P < 0.05) of the examined drift-CpGs exhibited a nominally significant difference (OR = 5.0, Fisher's test, P < 2.2 × 10 −16 ) between these two time points.

All correlations were highly significant ( p -value < 2.2 × 10 −16 ), implying that site-specific PTM changes are consistently associated with deviations in protein abundance that cannot be explained by RNA-level changes alone ( Figure 7 b).

Using an Analysis of variance, we found highly significant differences ( p < 2.2 × 10 −16 ) and a non-parametric Wilcoxon Mann–Whitney test confirmed the significant differences of absolute Spearman correlation in healthy versus diseased samples ( p < 2.2 × 10 −16 ).

A Wilcoxon signed rank test, which compared the ranks based on the two methods, was highly significant ( P < 2.2 × 10 −16 ).

The 138 c-Jun-regulated genes showed a highly significant 5.8-fold enrichment (p=2.2×10 −16 ) among the 1581 genes regulated during chronic denervation.

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).

Transcripts that lose m6A during differentiation show highly significant increase in TE in glioblastoma samples irrespective of subtype (GSC1: p<2.2e-16, GSC2: p<3.4e-11, GSC3: p<2.2e-16) (Fig B in S1 Text ).

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).

The overlap between CNM genes and genes correlated with aging was highly significant (p < 2.2 × 10 –16 , Fisher’s exact test).

Furthermore, a highly significant correlation was observed between the level of dysregulation of these 1,520 common DEGs within the two datasets (Pearson correlation test, R = 0.73, P -value < 2.2 × 10 −16 ) ( Fig 3B ).

We observed a highly significant gain of methylation with age at the locus in the LBC cohort, validating our approach (Fig. 1 a, T-test, p < 2.2 × 10 −16 ).

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

The investigation into the relationship between the effect sizes of ASVs and their respective taxonomic groups revealed highly significant results (Kruskal–Wallis test, P − value < 2.2 × 10 − 16 ) for both N conditions on all three days, suggesting a disproportionate enrichment of large effect ASVs within certain taxonomic groups.