“highly significant”

Of the 236 transposable elements detected in our RNA-seq data, 97 are differentially expressed in xct-2 , representing a highly significant enrichment (1-tailed Fisher's exact test, P < 2.2e–16; Fig.

Given this trend, we fitted a logarithmic model to the data, which was highly significant [linear regression F ST ~ log( D a ), P < 2.2 × 10 −16 ; Pearson correlation coefficient, R 2 = 0.96].

A Fisher’s exact test confirmed that this difference is highly significant ( P < 2.2 × 10 –16 ), with an odds ratio of 2.76.

All correlations were highly significant ( p -value < 2.2 × 10 −16 ), implying that site-specific PTM changes are consistently associated with deviations in protein abundance that cannot be explained by RNA-level changes alone ( Figure 7 b).

Monthly differences were highly significant (Kruskal–Wallis p < 2.2 × 10 −16 ), and this factor exhibited the strongest seasonal component among the three, with a seasonal strength of 33.77%.

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] ).

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 model revealed highly significant main effects of total body length (log 10 TBL) ( F = 3335.41, p < 2.2e‐16), indicating that mandible length strongly and predictably scales with overall body size.

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 ).

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

Despite major differences in experimental design, including the developmental stage of the worms, the overlap with the single-cell cis eQTLs was highly significant, with 335 cis eQTLs shared between the studies (OR = 7.2, p < 2.2×10 −16 , Fisher’s exact test) ( Figure 3C ).

2d and e ) and the Pearson correlation of these DNAm changes is highly significant ( p < 2.2 × 10 −16 ).

Transcripts that lose m6A during differentiation show highly significant increase in TE in glioblastoma samples irrespective of subtype (GSC1: p<2.2e-16, GSC2: p<3.4e-11, GSC3: p<2.2e-16) (Fig B in S1 Text ).

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 ).

For the 241 significantly differentially accessible regions there was a highly significant enrichment at regions marked as enhancers, compared to ‘All peaks’ ( p < 2.2 x 10 −16 ) or the genome-wide distribution ( p < 2.2 x 10 −16 ) of the chromatin state ( Figure 1d ).

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

Of note, we observed moderate, but highly significant ( P = 2.2 × 10 −16 , Wilcoxon rank sum test) differences in the methylation levels of genomic features between lung, breast muscle and sperm samples (Fig. 2a ).

Differences between delta delta G are highly significant (wilcoxon test, p-value<2.2 e −16 ) except for the comparison between bin 6 and 7 and bin 7 and 8.

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.

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).

Indeed, pit-diggers performed ~ 15x more CNN-predicted scoops versus spits within daily bower ROIs and this pattern was highly significant within each subject (CV: 273 scoops vs. 20 spits, χ 2 = 311.35, p < 2.2 × 10 –16 ; TI subject 1: 339 scoops vs. 16 spits, χ 2 = 127.2, p < 2.2 × 10 –16 ; TI subject 2: 602 scoops vs. 60 spits, χ 2 = 377.28, p < 2.2 × 10 –16 ).

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 ).

Pearson’s Chi-square test was used to analyze whether certain isolated sources had a higher proportion of a specific lineage, revealing highly significant differences ( P < 2.2 × 10 −16 ).

Notably, the correlations between differential patterns of H3K4me1/2/3 and H3K27me3 in promoters of genes that were up- or down-regulated in each spermatogonial subtype, respectively, were highly significant (p < 2.2 −16 ) ( Figures S3 A and S3B).

The overlap is very highly significant (Fisher’s Exact Test: Odds Ratio: 9.38; p-value < 2.2e-16).