This overlap was highly significant as represented by the odds ratio of 38.41-fold over what would be expected by random chance and the p -value < 2.16E-16 (two-sided binomial test).
← all phrases
“highly significant”
Sighted at
p=0.09
In the literature
In the wild fish, as well as in the Nadia strain, the chi-square P values are highly significant ( P < 2.2e-16), and one sees a clear bias in favor of G/C to A/T for the low-frequency class alleles and a bias in favor of A/T to G/C for alleles occurring at high frequencies, both expected under gBGC ( Glemin et al. 2015 ).
A total of 190,678 gene pairs had at least one TSG, and the difference in p -values between pairs with TSGs and with no TSGs was highly significant ( Figure 3 , Wilcox rank-sum test p -value < 2.2 × 10 –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 ).
On the other hand, when we considered each individual base count independently, we observed that the count of G nucleotides specifically shows a stronger negative correlation (R = −0.22) than the C nucleotide count (R = −0.074) alone ( Figure S5 A), although both correlations are highly significant (P < 2.2 × 10 −16 ).
We first assessed the variation in gene expression among the three biological replicate samples for each sex and tissue; the correlation values were highly significant between them all (Spearman's rank correlation coefficients of at least 0.95, p-value<2.2×10 −16 ; Figure S1 ).
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).
Comparison between the ratings of the general public and veterinarian responses was highly significant (LR = 330.31; df = 6; p < 2.2e -16 ) with veterinarians rating dog breeds as less sensitive overall than the ratings from the general public.
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 ).
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).
2008 ) of LMNA-associated genes identified by ChIP is highly significant ( P = 2.2 × 10 −16 , Pearson's χ 2 test).
Regression analyses indicate a highly significant relationship between PSC accuracy ( cf . empirical species richness) versus wia ( F 1,8190 = 5615, adjusted R 2 = 0.4067, p < 2.2e−16; Figure 4a ), whilst the relationship weakens when positive (WIA) and uninfected (uWIA) predictions are combined ( F 1,8190 = 1933, adjusted R 2 = 0.1909, p < 2.2e−16; Figure 4b ).
This test revealed a highly significant difference in the overall distribution ( X-squared = 81.204,df = 4, P -value < 2.2e-16 ).
The traits are much more correlated in both twin groups than in twin-spouse pairs or unrelated individuals (all comparisons were highly significant, p < 2.2e16).
eTable 3 shows the results in a model quadratic in time and confirms highly significant differences in cannabis use by ethnicity (from β estimate = 1.67 (95% CI 1.45–1.89), P < 2.2 × 10 –16 ; quadratic superior to linear model, ANOVA F = 2.147, df = 13, P = 0.019). eFigure 5 shows that high intensity cannabis use is falling amongst teenagers, but rising in older age groups. eFigure 6 confirms these age-dependent trends in the first trimester of pregnancy which shows more cannabis use than later trimesters. eFigure 7 has been drawn from CDC birth data and confirms the trend of childbirth to be occurring at older maternal ages.
The concordance in pathway deregulation was maintained at the gene level, as we observed a highly significant correlation ( P value < 2.2 × 10 −16 ) between the global change in gene expression in the two mutants compared to the WT ( Fig. 3b ).
Based on mutation screening and results from 2SC immunohistochemistry, the difference in MED12 mutation and biallelic FH inactivation frequencies between uterine leiomyomas from HLRCC patients and sporadic conventional uterine leiomyomas is highly significant ( P <2.2 × 10 −16 ).
The 138 c-Jun-regulated genes showed a highly significant 5.8-fold enrichment (p=2.2×10 −16 ) among the 1581 genes regulated during chronic denervation.
In addition, CREB1 is the top upstream regulator of the 465 overlapping differentially expressed genes (see previous texts) and there is a highly significant, negative correlation ( r = − 0.91, p value = 2.2E−16) between the fold changes for these genes—including the 58 direct CREB1 target genes—in the two comparisons (Supplementary Fig. 3 ).
At the nucleotide level, the nonrandom distribution among these genomic categories is highly significant ( P < 2.2 × 10 − 16 in a χ 2 test for independence).
This difference was highly significant (Mann-Whitney test: U = 2.2×10 7 , P <2.2×10 −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).
Based on paired t -test, we showed that the exponential regression model had highly significant mean R 2 accuracy than each of the existing methods (Holsteins: t = 584.8–37281; p < 2.2–16; Jerseys: 1178.5–5861.4; p < 2.2e-16).
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 ).
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).