Excerpts

Additionally, the P-value for accuracy being greater than the No Information Rate (NIR) was highly significant (P < 2.2e-16), indicating that the model’s performance was far superior to random chance.

Kruskal-Wallis tests revealed a highly significant increase in CNVs in these epithelial tissues compared with the B cells (P<2.2×10 −16 ), indicating that they could be considered tumor cells.

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).

We observed a highly significant rate of concordance and overlap between cerebellar expression profiles of Atxn1 −/− and Atxn1 154Q /+ mice (z = 11.9485, P -value<2.2e-16, Kendall-τ test).

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.

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 ).

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

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 ).

When examining 92 age‐associated metabolites, the correlation between the age beta coefficient was highly significant ( r = 0.79, p = 2.2e‐16; Figure S2B ), suggesting the reliability of our method. 91 of them changed with age in the same direction, among which 27 were statistically significant.

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.

The correlation of the concentrations determined by 1 H-NMR and by quantitative methods were highly significant for both the samples of ccDMEM (Pearson: r = 0.99, p = 2.20 * 10 −16 ) and of vcDMEM (Pearson: r = 0.91, p = 2.84 * 10 −6 ).

5 a and b) and gene expression was highly significant for both root and leaf (root: R = 0.364, P < 2.2e-16; leaf: R = 0.334, P < 2.2e-16).

The correlation levels are moderate, yet highly significant ( p -values < 2.2 × 10 −16 ), therefore it is likely that these different measures highlight the same underlying core phenomenon.

This difference in size between the three types was highly significant for both length ( F = 328.7, df = 368, p = 2.2e‐16) and weight ( F = 478.2, df = 368, p = 2.0e‐16), with highly significant differentiation between even the closest two types (kokanee and hybrid; length: F = 20.3, df = 301, p = 9.51e‐0; weight: F = 44.61 df = 301 p = 1.16e‐10).

Comparison of variance in global methylation between the depressed twin and their unaffected co-twin revealed a highly significant increased genome-wide variance in twins with MDD in both the UK and Australian cohorts ( P < 2.2 × 10 -16 in both datasets).

Using a pairwise comparison of 5286 genes with adjP ≤ 0.1 for log fold change of WT MR versus WT Con and NRF2 KO MR versus NRF2 KO Con, the correlation of the effect of MR in the two genotypes was highly significant (R 2 = 0.64, p < 2.2 × 10 −16 , Supplementary Figure S2 ).

To further quantify these differences, we applied a two-sided Wilcoxon signed-rank test between the Mean and SD, which demonstrated a highly significant difference ( p -value < 2.2e-16, N = 12,321 compound-compound interactions).

It is evident from the data that genome size influences the frequency of microsatellites, supported by a highly significant positive correlation between genome sizes and frequency of microsatellites ( R 2 = 0.53 and P -value = 2.2e –16 ) ( Fig. 2D ).

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

Indeed, this overestimation was highly significant (1-tailed t- test, t = 9.66, df = 557.16, p < 2.2 –16 ).

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

Pearson's Chi-square test indicates that this difference is highly significant (p-value <2.2e-16).

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).

8 A–D, GSTO1 expression is significantly elevated in tumor tissues compared to normal tissues across several datasets (E_MTAB_8588, GSE42743 , and TCGA_HNSC), with highly significant p-values (p < 2.2e–16, p = 7.3e–08, and p < 2.2e–16, respectively).

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 ).