“highly significant”

However, of those that overlapped, there was a highly significant enrichment for effect direction concordance (i.e., increased binding with increased accessibility; OR = 18.0, P -value < 2.2 × 10 −16 ), suggesting replication across these distinct studies.

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).

RNA-seq and CAGE of CdLS neurons showed highly significant overlap (Odds ratio = 11.86, P < 2.2e-16).

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 ).

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.

Visually, H3K4me2 also seemed to be lost at this region, but the major site of enrichment, at the spacer promoter, was unaffected, and the locus-wide correlation remained robust and highly significant (mESC vs. mNPC: R 2 = 0.87, P <2.2 × 10 −16 ).

Remarkably, we observed a highly significant negative correlation between B cell levels and HEUScore among all immune cell subtypes ( r = -0.8857, P < 2.2e-16) ( Figure 5G ).

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).

When the test was conducted with results adjusted for cohort, PCs, age, and gender, the over-representation of risk associations remained highly significant ( p value < 2.20 × 10 −16 ).

The overall model was highly significant [ F (7, 3,992) = 371.3, p < 2.2 × 10 –16 ] and accounted for approximately 39% of the variance in log-transformed cattle infections.

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 ).

Remarkably, we found a highly significant increase in entropy in the converging sites of 0.005 increase in entropy per decade of age ( p value < 2.2e −16 ), and a stark contrast with the diverging sites, which significantly decrease entropy with age, and could be considered “anti-entropic” since they become more predictable with age (Fig. 5 B).

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 ).

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 ).

239.3 cm) compared to Sb, and in both cases differences resulted highly significant ( p = 2.2×10 −16 and p = 2.7×10 −15 for MAT and PH, respectively).

The Wilcoxon–Mann–Whitney test confirmed that these differences were highly significant ( p -value < 2.2 × 10 −16 ). 3.3.

In both cases the difference in expression level was highly significant ( p < 2.2e-16) indicating that the coverage of those genes was too low for an assembly of at least 55% in one species.

S6 , we found a highly significant correlation between amplicon genus abundance PCoA1 and shotgun species abundance PCoA1 (the Spearman’s correlation ρ = 0.881 , p-value < 2.2 × 10 - 16 ).

The overestimates were highly significant (1-tailed paired t -test, t = 26.60, df = 519, p < 2.2 −16 ).

The mean values of the non-invasively measured community-wide parameters obtained by DWCP seem to give a valid representation of the actual plant community as indicated by the highly significant positive relationship between the weighted plant biomass removed from sods and the digital biomass extracted from scans (quadratic polynomial regression, p < 2.2e-16, adjusted R 2 = 0.59, see Additional Figure 3 ), supporting results from scans of plant individuals ( Laxman et al., 2018 ).

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 ).

We found that the correlation values were highly significant between them all ( Figure 1 , Pearson correlation coefficients of at least 0.95, p -value < 2.2 × 10 −16 ).

High phenotypic correlations were observed for both females ( r = 0.98) and males ( r = 0.95), with highly significant p values ( p < 2.2 × 10 −16 ).

The difference between the nuclear area of cells from infected and uninfected plants was highly significant (based on the Brown–Mood median test, p = 2.2e-16), and the nuclear area of cells from P. brassicae -infected plants was 2.8 times bigger based on the median size.

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 ).