“highly significant”

4E ) was highly significant ( P < 2.2 × 10 −16 for DHSs and P = 3.9 × 10 −16 for TSSs, Spearman’s rank order correlation).

Flies (Diptera) were captured along all months under study and in all areas of the island ( Fig 10 ), but there were highly significant differences among months (G-test, G = 125.24, d.f. = 9, p = 2.2x10 -16 ).

Results show that the correlation between PADI2 and HER2/ERBB2 overexpression is highly significant across the luminal, basal-NM (non-malignant), and claudin-low cell lines (rho = 0.828, p = 2.2 × 10 -16 ) (Figure 3 ).

The overall model including all predictors was highly significant for both, the plaque size in the aortic root and BCA (BCA: F(4, 94) = 37.44, p-value < 2.2e-16 r2 = 0.60; heart: F(4, 81) = 65.09, p-value < 2.2e-16, r2 = 0.75).

We detected a highly significant positive correlation between F ST and absolute values of α (HV: r = 0.24, p < 2.2e-16; MR: r = 0.24, p < 2.2e-16; Figure 3 ), indicative of relationships between genetic differentiation, divergent selection, and reproductive isolation.

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.

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 ).

Results from Figure 3 showed a highly significant difference in MIC values among the treatments (χ 2 = 270.89, df = 5, p < 2.2 × 10 −16 ), with a very large effect size (ε 2 = 0.85, 95% CI [0.80, 0.89]).

Results Descriptive statistics Samples differed in average symptom endorsement: Patients in Data Set 4 had the most severe symptomatology, followed by Data Set 1, Data Set 2, and Data Set 3 (see Table 1 ). Except for the comparison of Data Set 1 with Data Set 2, t (840.15) = 1.62, p = .11, Bayes factor = 0.26, 3 all other differences between the severity scores were highly significant ( t values between 8.51 and 29.29, degrees of freedom between 518.03 and 1417.3, all p values < 2.2 × 10 −16 , all Bayes factors > 4.7 × 10 13 ).

FT showed a highly significant difference between groups (p < 2.2 × 10 −16 ), with substantially higher survival observed in Eastern European genotypes compared to those from Southern Europe.

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.

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 ).

Strikingly, as in human cells, we found a highly significant correlation between 8-oxodG and γH2AX signals within the mouse genes (Pearson correlation test, r = 0.9; P < 2.2e–16) (Figure 4F ).

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).

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.

This difference was highly significant (Mann-Whitney test: U = 2.2×10 7 , P <2.2×10 −16 ).

This deviation from the expected distribution is highly significant by chi-square analysis ( P value = 2.2 × 10 -16 ).

There was, however, a highly significant correlation between change in TE score and GC content (Pearson’s correlation value of −0.1337, p-value<2.2e −16 ) ( Figure 1I ).

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 ).

When restricted to people of M/F gender and whose gender was identically recorded in both databases, forename mismatches occurred in 2.37% of females (1727/72,948) and 2.16% of males (1153/53,474), a small but significant difference ( χ 2 1 = 6.0909, p = 0.01359), while surname mismatches occurred in 6.78% of females (4947/72,958) and 2.22% of males (1185/53,484), a highly significant difference ( χ 2 1 = 1392.7, p < 2.2 × 10 −16 ).

The Pearson correlation coefficients of uniquely mapped reads between biological replicates are from 0.961 to 0.994, which are highly significant ( p -values < 2.2e−16).

Statistical analyses showed that Pearson’s χ 2 test with Yates’ continuity correction had a χ 2 statistic of 34,319 with 1 df, indicating a highly significant association (p<2.2e−16).

This targeting is highly significant as compared to the targeted human proteome counterpart (exact Fisher test, p value <2,2×10 −16 ).

The rescue of genes found differentially expressed in ∆ Firre CLPs by a Firre transgene produced a highly significant result ( P = 2.2e-16, Fisher exact test); however, we note that the widespread changes in gene expression observed in the CLPs from animals only expressing transgenic Firre RNA could also formally contribute to this effect.

A highly significant statistical difference (X-squared = 1715.4, df = 180, p -value < 2.2 × 10 −16 ) was found between the frequency combinations of the two haplotype sequences. 3.5.