“highly significant”

These distinctions are highly significant ( P = 7.07 × 10 −17 between TN and FN + FP, P = 2.07 × 10 −19 between TP and FN + FP).

All NB histopathology types (64 out of 64) were correctly assigned according to the 7-GeneSig, and the inter-rate reliability of assignments was highly significant (Kappa measure of agreement p = 7.489E-17, Table 2 ).

The increased dynamic range was highly significant across units (paired t test, P = 7.5e-17, t = -8.6, df = 442).

For each overlap, the hypergeometric test was applied, and all overlaps were found to be highly significant ( Supplemental Figure 7B ; hypergeometric test P values from proximal to distal bins, DMRs: P ≈ 7.7 × 10 –17 , P ≈ 2.5 × 10 –33 , P ≈ 1.8 × 10 –16 , P ≈ 5.1 × 10 –13 ; DARs: P ≈ 4.1 × 10 –47 , P ≈ 1.3 × 10 –64 , P ≈ 1.2 × 10 –33 , P ≈ 7.9 × 10 –36 ).

The results for a panel of the 12 genes were in good agreement with the LongSAGE data (Table 2 ) and there was a highly significant correlation (r = 0.79, p = 8.52E-17) between the two techniques.

By contrast, the global expression pattern showed a highly significant association with post conception age (Kruskal Wallis test, p = 8.592 ×10 -17 , Fig. 1b ) demonstrating a more prominent contribution of the developmental stage to the observed changes in gene expression than differences attributed to regional variations.

The respective amino acid sequence (ERKA) was found to be highly significant and positively associated with IA-2A positivity (OR 2.15, P = 8.83 * 10 −17 ).

We also observed in the ventricle a spatial, very highly significant overlap for regions where both epigenetic marks decreased ( p < 9x10 −17 ).

In sharp contrast, the STRING analysis found a highly significant connection enrichment in the MSI-H overexpressed proteins ( Fig. 3 B ; p -Value < 10 −16 ).

The expected number of edges is 393 and has a PPI enrichment p -value was highly significant ( p < 10 −16 ).

We also created protein interaction networks of non-plaque tissue DS, EOAD, and LOAD proteomes, which showed a highly significant degree of protein–protein interactions (PPI enrichment p = 1 × 10 −16 , Supp.

The network showed highly significant PPI enrichment (p < 1.0 × 10 −16 ), with an average node degree of 3.52 and a local clustering coefficient of 0.497, supporting the presence of a non-random and moderately clustered interaction structure.

Again, this is highly significant ( P < 10 -16 , Wilcox rank test).

PPI enrichment analysis was highly significant (P < 1.0e-16; Fig 5B ), indicating that the observed interaction density was greater than expected by chance and suggesting coordinated involvement of these genes in bladder cancer–related pathways.

Interaction network and functional enrichment of differentially abundant proteins The interaction network between the DAPs was highly significant (p-value < 10 −16 ), indicating that the DAPs are at least partially biologically connected (Fig. 2 ).

The heritability estimates for all subfields, displayed on the plot’s diagonal, were highly significant (all p -values < 1 × 10 −16 ), ranging from h 2 = 0.14 of the parasubiculum to h 2 = 0.27 for the hippocampal tail.

The overall PPI enrichment was highly significant ( p -value < 1.0e-16).

The network displayed an average clustering coefficient of 0.604 and a highly significant PPI enrichment ( p < 1.0 × 10−16), indicating substantial functional connectivity among the proteins.

The correlation between the distance of GO groups in the 0.001 cutoff co-evolution network (that is, their evolutionary distance) and their distance in the corresponding GO ontology network (that is, their functional distance) is highly significant: 0.38 for cellular component, 0.16 for biological process and 0.43 for molecular function (all three with P -values <10 -16 ; a similar trend is observed using the 0.01 cutoff network).

There is a highly significant correlation between F ST and A ancestry difference between the lowland and highland samples (Spearman's ρ = 0.26, P < 10 −16 ).

The differences between benthic and pelagic species in both measures were highly significant (P ~ 10 -16 ).

Results In the independent validation set, the hazard score calculated from 54 single nucleotide polymorphisms was a highly significant predictor of age at diagnosis of aggressive cancer (z=11.2, P<10 −16 ).

However, when considering the overall number of associations per source and the number of highly significant associations (-log 10 (p) ≥ 16), clear differences emerge.

The PPI network analysis revealed highly significant connectivity ( p < 1.0e-16), with functional enrichment in protein refolding and cellular stress response.

When we considered individual pathogenic CNVs that were not overlapped by benign CNVs (that is, exclusively pathogenic regions), a mean of 37.3% of the genes were developmental genes compared with 24.2% of benign CNV genes (medians 28.4% and 0%, respectively), a highly significant difference ( P <1.0 × 10 −16 , Mann–Whitney U -test).