Statistical analysis using an independent two-sample t -test (Welch’s correction) revealed a highly significant difference in mean PC1 values between the two groups ( P < 2.2 × 10 −16 ).
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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).
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 ).
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).
The overlap between EgrNAC26-OX and EgrNAC61-OX datasets was highly significant ( P < 2.2 × 10 −16 ), only one transcript was alternately up- or down-regulated across time points, and DEGs common to EgrNAC26-OX and EgrNAC61-OX datasets were all up- or down-regulated concordantly, demonstrating robust and consistent activation of a subset of shared genes.
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 ).
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.
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).
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 ).
Averaging power in this range across the entire cue presentation period revealed a highly significant difference between the six regions in the 3-s spatial working memory task (F 5,1096 = 19.98, p = 2.2E-16, effect size: η 2 = 0.09).
There was a highly significant correlation ( r = 0.876, P -value <2.2 × 10 −16 ) ( Supplemental Fig.
Pearson’s Chi-square test was used to analyze whether certain isolated sources had a higher proportion of a specific lineage, revealing highly significant differences ( P < 2.2 × 10 −16 ).
Further, the concordance of miRNA expression (log normalized) of the common miRNAs was also explored by Spearman correlation and showed a highly significant correlation with rho of 0.81, p<2.2x10 -16 ( Fig 4b ).
Moreover, not only do we find differences in predictive performance between populations from different continents, we also find highly significant differences in prediction accuracy among the four European ancestry populations considered ( F -test p -value < 2.2 × 10 −16 ).
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).
Lastly, we compared the average TE ages between SUO and SLO genes in human and revealed a highly significant difference (p<2.2e-16, Wilcoxon Rank Sum test), with the former at 16.1% and the latter at 21.3% sequence divergence from their consensus sequences (For reference, 16–18% of unconstrained nucleotides have been substituted since the split of primates from other mammalian orders [32] ).
There exist only small differences in their declared residence area (zip code), but they are older (median age 35 against 24), more likely men (men proportion 62.9% against 49.9%) and live within the Lyon-Villeurbanne urban area (85.3% against 81.7%, all theses differences are highly significant, p-value <2.2*10 −16 ).
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.
Altogether, these results suggest that moonlighting proteins are prone to be involved in human diseases as it is pointed by it respective ODD ratios; 16.47 (CI 95% 10.95–25.44) in the OMIM analysis being highly significant (Fisher’s exact test value; p < 2.2e-16) (See S6 Table).
All correlations are statistically highly significant with a p -value < 2.2e-16.
The sequencing data showed highly significant expression correlation with the array data ( R = 0.88, p < 2.2 × 10 −16 ) for 101 genes whose expression was significantly altered in KO mouse (Table S3 and Figure S8 ).
This revealed a highly significant agreement of the number of events between paired replicates (Supplementary Fig. 2b , Pearson's correlation 0.997, n = 30, two-sided, p value < 2.2e−16), indicating that uvCLAP events capture the amount of pulled down RNA exceptionally well.
The correlation between predicted and measured scores was highly significant ( Figure 3C , Pearson’s r = 0.35, p < 2.2×10 −16 ) and reduced substantially when a randomized version of the ontology was used ( r = 0.04); the maximum achievable correlation, as previously determined by experimental genetic interaction replicates ( Baryshnikova et al., 2010 ), was r = 0.67.
We observed a very weak but highly significant correlation in synonymous heterozygosity between species (Pearson’s r = 0.14, p<2.2e-16), consistent with some degree of conservation for genic parameters of mutation rates and/or selection at Drosophila synonymous sites [ 58 , 70 – 74 ].
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 ).