“highly significant”

Bioinformatic screens for differential TACE mRNA expression using the Oncomine database ( www.oncomine.org ) confirmed the highly significant ( P <10 −6 ) increase in TACE transcript levels in HNSCC specimens ( Cromer et al , 2004 ).

A Kruskal-Wallis test showed a highly significant difference across groups ( H (2) = 2.9 × 10 5 , p < 10 −6 ).

Convergence was obtained for all morphological traits and in all cases the full model accounted for significantly more variance than the constants-only model and this difference was highly significant ( P < 10 −6 ).

The analysis of the heat stress data also revealed that the number of highly significant genes (unadjusted p < 10 −6 ) increased with the number of included experiments.

In Supplementary Data 6 , the association of CHRM3 activation with “urinary contraction” (literature ID 364) contains the p value and ROC AUC for “Urinary retention” and is classified as highly significant ( p ≤ 1e-06), with distance 1 (i.e., the significant PT and starting PT are connected via 1 intermediate in the network, via the shared HT).

Among these, nfa23460 , nfa38830 , nfa43970 , and nfa9390 exhibited highly significant differences (P < 0.000001).

Notably, the TCT:M2TAM ratio was highly significant ( p ≤ 0.000001) in two HGSOC cohorts.

This difference was highly significant ( U -test, p < 0.000001).

The multiple sclerosis patients showed a highly significant negative ΔWMV compared with the control subjects (mean multiple sclerosis ΔWMV = − 56,417 mm 3 , SD = 43,267 mm 3 , t = − 5.68; P < 0.000001).

All other combinations of methods and scenarios had highly significant sensitivity (P < 1.0 × 10 −6 ) and specificity (P < 1.0 × 10 −6 ) compared to the baseline value 0.5, except for sensitivity of Lasso in Scenario 2 (P = 0.90).

Figure 2A shows a linear increase in the execution times of both software with the number of SNPs and the correlation is highly significant for both comparisons ( r = 0.98 and 0.99 respectively, P < 10 −6 ).

In all cases, the post-hoc contrasts were highly significant (p-value < 1 × 10 −6 ).

One-way ANOVA for repeated measures followed by Tukey post hoc test revealed a highly significant difference ( p < 1 × 10 −6 ) between Fe-treated animals versus the other three groups (Fig. 1 b).

Differences between populations accounted for only 6.96% of the variance, but was highly significant ( P < 1.0 * 10 −6 ).

We concluded that our finding of 33 cases of positive selection on mitochondrial biogenesis genes is highly significant (simulated P < 10 −6 ) and not caused by an expression or sequencing bias.

Global analyses identified a total of 2,053 sites with overlapping peaks, and statistical analyses showed that this overlap is highly significant ( Figure 2 B) (p < 10 −6 , calculated using a permutation test with 1.0 × 10 6 iterations).

All results were highly significant with p < 0.000001 for all values.

Even after accounting for phylum identity, the clustering was still highly significant (PERMANOVA P < 10 −6 ).

These clusters are robust to changes in network parameters and are highly significant (p-value < 1 x 10 -6 , permutation tests).

However, for intergroup comparison, the difference between the two modes was found to be highly significant in both sedated and awake states if we considered inspiratory hold in PAV+ as PMI ( P = 0.000001 for both states).

A Chi-square test showed these differences to be highly significant (χ 2 = 236.6; df = 17; p < 0.000001), confirming that germinated seeds are much more likely to occur on the side to which the ants do not have access.

In all cases, the difference in the level of divergence between normal and tumor samples in each tissue and platform cohort is highly significant (Wilcoxon P value < 10 − 6 ; see Fig. 2 ).

ANOVA with the main factor Age-Group (adults, children) and repeated measures factor Velocity (3 conditions) revealed a highly significant effect of Velocity on gamma power (F (2,122) = 172.8, ε = 0.87, p < 1e −6 ; η 2 = 0.74), but no effect for the Age-Group or the Age-Group*Velocity interaction (p’s > 0.6).

When all tumor samples were evaluated together the correlation of GZMH, ABL1, IL-7, LY9, IL-12, SCAMP3, and CD244 were highly significant ( p < 1 × 10 −6 ).

This gene was associated with MSTRG.4395, and multiple SNPs (positions: 1621958, 1622383, 1622481, 1622545, 1623626, 1622203, 1623988, 1624219, and 1624050) exhibited highly significant associations ( p < 10−6), suggesting their potential role in regulating lncRNA expression.