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 ).
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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.
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 ).
The overlap is very highly significant (Fisher’s Exact Test: Odds Ratio: 9.38; p-value < 2.2e-16).
The beta estimates for these SNPs showed a highly significant linear correlation ( P < 2.2e−16, Fig. 1g, j ).
This shift was highly significant as determined by the Mann-Whitney-Wilcoxon Test ( P <2.2*10 −16 ).
1c ), which exhibited highly significant hypomethylation ( P < 2.2e-16; Fig. 1d ).
The model revealed highly significant main effects of total body length (log 10 TBL) ( F = 3335.41, p < 2.2e‐16), indicating that mandible length strongly and predictably scales with overall body size.
These differences, while modest in strength, were highly significant (p < 2.2e-16).
The analysis revealed a highly significant enrichment ( p < 2.2 × 10 −16 ) of QTLs within CNVRs.
Similarly, the prevalence of typhoid was notably elevated in Bumbu (91.3%) compared to Bandal (77.4%), with a highly significant X 2 result ( p < 2.2 × 10 −16 ).
Although circRNA expression shows a clear trend for both positive (β = 1.121, P < 2.2 × 10 −16 ) and negative (β = −1.015, P < 2.2 × 10 −16 ) β values (effect size), there is no such trend in the mRNA expression (β = 0.0294, P = 0.8654; and β = −0.0339, P = 0.8639 for positive and negative β values, respectively).
The histogram of the distribution of the uncorrected p -values suggested that there was a highly significant excess of low p -values ( p -value < 2.2 × 10 − 16 ; Kolmogorov–Smirnov test; Fig. 2A ).
Analysis of variance based on the reparametrized polynomial-interaction model with MPR effects showed a highly significant impact of partial yields on test-day yields ( P <2.2e-16).
Conversely, IL-6 exhibited highly significant positive correlations with the other 11 states, including EMT ( P < 2.2 × 10 − 16 ), inflammation ( P < 2.2 × 10 − 16 ), invasion ( P < 2.2 × 10 − 16 ) and metastasis ( P < 2.2 × 10 − 16 ).
The Wilcoxon–Mann–Whitney test confirmed that these differences were highly significant ( p -value < 2.2 × 10 −16 ). 3.3.
Note that likelihood ratio tests comparing the model results without and with the T1WP correction were all highly significant ( p < 2.2 × 10 − 16 ), probably due to the high number of observations and relatively small number of terms in the model.
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).
Notably, the correlations between differential patterns of H3K4me1/2/3 and H3K27me3 in promoters of genes that were up- or down-regulated in each spermatogonial subtype, respectively, were highly significant (p < 2.2 −16 ) ( Figures S3 A and S3B).
2008 ) of LMNA-associated genes identified by ChIP is highly significant ( P = 2.2 × 10 −16 , Pearson's χ 2 test).
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).
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 ).
For the 241 significantly differentially accessible regions there was a highly significant enrichment at regions marked as enhancers, compared to ‘All peaks’ ( p < 2.2 x 10 −16 ) or the genome-wide distribution ( p < 2.2 x 10 −16 ) of the chromatin state ( Figure 1d ).
A highly significant correlation (R 2 = 0.94–0.96, P < 2.2e-16) confirmed the accuracy of the 3D scanning method ( Fig.
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.