This correlation was highly significant ( p < 2.2 × 10 −16 ), indicating that the observed similarity is unlikely to occur by chance. 2.4 Expression of PAMPs and DAMPs in Human and Murine pDCs Quantitative proteomic comparison of human and murine plasmacytoid dendritic cells (pDCs) revealed selective, pathway‐specific differences rather than global proteome shifts.
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While the difference between cases and controls is not significant (empirical P =0.070), we observe a highly significant overlap within each group ( P <2.2e−16 for cases and P =4.44e−16 for controls, Supplementary Methods , hypergeometric overlap test).
Direct correlation analysis further revealed that IDO1 expression maintained a strong, highly significant positive correlation with CD8+ T cell infiltration (R=0.64, p =2.2×10 -16 ) ( Figure 3 ).
For example, the Fisher exact test for association between the markers rs3856806 and rs41516544 for both males and females was highly significant (P-values <2.2×10 -16 and 1.102×10 -12 , respectively).
Pearson correlation analysis of these whole‐sample average expression profiles revealed highly significant correlations between replicates (Peach: r = 0.94, p < 2.2e‐16; Nectarine: r = 0.91, p < 2.2e‐16), with LOESS regression confirming the linear relationship (Figure S15A ).
The results indicated highly significant Pearson correlation coefficients of −0.82, −0.68, −0.78, and − 0.71, respectively, with P -values < 2.2e-16 ( Fig. 3B-E ).
The concordance score based on the χ 2 -test is highly significant (p < 2.2e-16), and the overall accuracy to clinical types is 71.6%, as measured by rand measure, a metric for the percentage of agreement on a pair of samples belonging to the same group.
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] ).
2d and e ) and the Pearson correlation of these DNAm changes is highly significant ( p < 2.2 × 10 −16 ).
While the p -values are highly significant ( p -value < 2.2e–16), this is likely due to the large sample size, and the relationship between TE content and gene expression is rather weak (Fig. 3 G), suggesting that genes can be highly expressed despite containing substantial intronic TE densities.
Interestingly, we have observed a much higher number of negatively correlated mRNAs than positively correlated ones with the medians of 430 and 1,022 for the positively and negatively co-expressed transcripts respectively, and the trend towards negative correlation was highly significant ( p value <2.2E16, Wilcoxon signed rank test) (Fig. 2 e, Additional file 1 : Supplemental Table S4).
andersonii (tested via independent samples Wilcoxon rank-sum test), while its F is value was also significantly lower ( P < 0.05).Furthermore, verification of Rarefied Allelic Richness (Ar) via the Kruskal-Wallis rank sum test revealed a highly significant difference between the two species (chi-squared = 1770.3, df = 1, P < 2.2e-16), confirming that the genetic diversity of B. andersonii is robustly higher than that of B. tianguii even after standardizing sample sizes ( Figure 3 ). 3.3.
IAPs are specific targets of Dnmt1’s de novo activity Next, we compared the DMR distribution over genomic features and found a highly significant enrichment at LTRs, which is independent of regional CpG density ( P < 2.2 × 10 −16 , Wilcoxon test, DMRs compared with CRs; Fig. 2e and Extended Data Fig. 2b ).
The P2′ statistic was found to be highly significant across the 57 X substitution lines ( P = 2.2 × 10 −16 ), thus indicating that genotype has an effect on the variation seen for the proportion of progeny sired by the experimental X chromosome male when he is the second to mate.
Our results demonstrate that subtype indicators are highly significant in predicting survival ( p -value < 2.2 × 10 −16 ).
2 A), which was still highly significant ( p = 2.2e-16) due to the number of data points.
Notably, the relaxed (R) state showed highly significant differences ( p < 2.2 × 10 −16 ) from all other emotional states across all features.
Bartlett’s test of sphericity was highly significant (χ2 = 362.49, df = 11, p < 2.2 × 10 −16 ), confirming that the correlation matrix was not an identity matrix and that the dataset had sufficient inter-variable relationships for factor analysis.
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 ).
Single marker analysis revealed that NAL1 _4_31214045 had a highly significant association with tiller number ( p < 2.2 × 10 − 16 ) and explained 22.07% of the phenotypic variance (PVE), while OFP19 _5_15069810 showed a weaker but still significant association ( p = 1.99 × 10 − 5 ), with a PVE of 3.65% (Table 5 ; Fig. 6 A, B).
These differences, while modest in strength, were highly significant (p < 2.2e-16).
Despite the difference in patient population and array platform, the correlation between PLK1 mRNA expression and DNA damage accumulation signature was highly significant in both datasets ( p < 2.2×10 −16 for both the TCGA and REMBRANDT dataset).
To test this prediction, we performed DRIP-seq in ovaries dissected from adult females and found strong, highly significant correlations between the female whole fly samples and ovary samples for both nonDE and FE peaksets from the adult data (Spearman’s rho > = 0.72 and P < 2.2e-16 in all comparisons, S2D Fig ).
By linear regression analysis, the correlation between the two are highly significant (Spearman's rank correlation = 0.83, P-value <2.2×10 −16 ).
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.