Excerpts

All regressions were highly significant ( p < 2.2 × 10−16).

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).

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.

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.

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.

We find a highly significant departure from the expectation that the mean blunting score is equal to zero (two-tailed one-sample t test P < 2.2 × 10 −16 ), demonstrating that deletion of ENH5 results in a transcriptome-wide dampening of the response to sustained hypoxia ( Fig. 3E ).

The Chi-squared test among the 6 groups of fishers defined above and the catches of the 14 main taxa (each representing > 2% of the total number of caught individuals and 83% of the overall catches in total) was highly significant (Chi-squared = 914.8, df = 65, p value < 2.2e-16), allowing to conclude that the groups of fishers did not have the same target species.

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

Interplatform adjustment led to a highly significant increase in ICC coefficients (median (prior to interplatform adj., only intraplatform adj.) = 0.1; median (after interplatform adj.) = 0.46; P < 2.2 e − 16).

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 Spearman’s rank correlation coefficient of 0.74 between all d(fl, endo, g) and d(com, endo, g) scores is highly significant ( P = 2.2e −16 ), reflecting resemblance in genome size and signal peptide content of free-living bacteria and commensals.

In the study, two ecologically competitive Functional Groups of golden pompanos were also found, with relative abundance showing a highly significant negative correlation ( R = -0.78, P = 2.2e-16) (Fig. 5 A).

A comparison of frequencies with Pearson's chi-squared analysis showed a highly significant increase of negative probes in the immune group ( p < 2.2e − 16).

The two-way ANOVAs demonstrated highly significant differences between the strains ( Pdyn F 1,216 = 79.25, p = 2.2×10 −16 ; Penk F 1,213 = 60.19, p = 3.54×10 −13 for the strain factor) and a significant interaction of both factors (strain x brain region: Pdyn F 3,216 = 8.79, p = 1.6×10 −5 ; Penk F 3,213 = 5.36, p = 1.4×10 −3 ).

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.

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 ).

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 ).

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

We found a highly significant positive correlation of number of hits per target site with motif score (Spearman's correlation, ρ = 0.154; P < 2.2 × 10 −16 ) and weak positive correlation with palindrome score (Spearman's correlation, ρ = 0.029; P = 0.003).

However, it is interesting to note the highly significant co-directionality (binomial test: p < 2.2e−16) of the expression changes observed for nitrogen-limited cultures and in hospite symbionts, with 92.67% of the 12,295 (11,394) DEGs changing expression in the same direction (Fig. 2 e).

Importantly, the global shift observed with RRP41 knockdown was statistically highly significant ( P < 2.2E−16, Jonckheere trend test) and was not observed with the U2-type introns located immediately up- or downstream of the U12-type introns (Figure 3F ) or in the group of all the U2-type introns in the same genes.

Our results indicated that 48.1% ( n = 11,422, P < 0.05) of the examined drift-CpGs exhibited a nominally significant difference (OR = 5.0, Fisher's test, P < 2.2 × 10 −16 ) between these two time points.

Consistent with previous research [4] , a highly significant correlation occurred between the average DDE score of each bin and the enrichment fold of hits for known DDIs ( R 2 = 0.75, P = 2.2E − 16; Fig. 3 B), indicating a high likelihood that a drug will successfully treat a disease if the drug is capable of strongly perturbing the local module of master genes in the interactome.

Analysis of variance based on the reparametrized polynomial-interaction model with MPR effects showed a highly significant impact of partial yields on test-day yields ( P <2.2e-16).

We finally observed a significant trend ( r = 0.78, P < 2.2×10 −16 ) that genes with a higher estimate of expression in the microarray were more likely to have a higher expression level in RNA-sequencing.