“highly significant”

The correlation between HNRNPK binding events and nuclear enrichment was highly significant when controlling for transcript length and expression levels (R=0.2, P<10 -16 in HepG2 cells and R=0.07, P<10 -16 in K562 cells).

STRING analysis revealed highly significant connectivity between almost all input genes (enrichment p -value < 1 × 10 −16 ), suggesting that TCF19 may be regulating one cluster of interconnected genes ( Figure 2 B).

The constructed PPIN comprised 44 molecular nodes interconnected by 296 edges, demonstrating highly significant interaction enrichment ( p = 1.0e-16).

All constructed PPI networks exhibited highly significant enrichment (PPI enrichment p -value < 1.0 × 10 −16 ), suggesting that the observed number of interactions is greater than expected by chance.

This was observed in both sexes These differences in T2D prevalence between the three groups were highly significant (Chi square test p -value < 10 −16 ).

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 ).

Consistent with this structure, the STRING PPI enrichment analysis was highly significant (p < 1 × 10 −16 ), supporting the conclusion that these proteins form a biologically coherent interaction network rather than a random assembly ( Figure 9 ).

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.

By a STRING protein-protein interaction network analysis of proteins identified by MS, we determined a highly significant network of proteins being bound to the nimtRNA transcript ( p < 1.0e−16).

Although it displays limited power, the PRS predictor is highly significant ( P < 1.0 × 10 −16 ), and an analysis of variance (ANOVA) between the full PRS model against the null model using covariates only is significant ( P = 1.9 × 10 −12 ), confirming the additional classification accuracy conferred by the PRS predictor.

They were not identical to the ones identified in each disease individually, but showed a highly significant overlap in both cases ( p < 1E−16, χ 2 -test).

The difference of the average log2-scaled metformin levels in blood between both groups was highly significant ( p < 10 −16 ).

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.

The network demonstrated highly significant connectivity (PPI enrichment p -value < 1 × 10 −16 ), as 201 interactions were observed compared to the 27 edges expected by chance, supporting functional relationships among the proteins rather than random connectivity.

All were highly significant ( p < 10 –16 for all chromosomes after Bonferroni correction), with over 96% of the variation in the F5 position being explained by the F2 position for every chromosome tested ( Figure 2 ).

The network showed strong biological relevance with highly significant enrichment ( p -value < 1.0e-16).

DAPs Are Involved in Wound Repair and Blood Coagulation Are Associated with Hydration Protein–protein interaction analyses of DAPs using STRING [ 19 ] resulted in a highly significant clustering (PPI enrichment value of p < 1.0 × 10 −16 ) consisting of 34 nodes and 126 edges ( Figure 2 ).

This test yielded highly significant results for both similarity types (Functional and Taxonomic) across all three runs (Taxonomic: H-statistic 80.64–107.68.64.68, p < 1e-16; Functional: H-statistic = 380.5–457.7, p < 1e-80), indicating that at least one category distribution differed from all the others.

Despite the different experimental conditions, we found a highly significant overlap (odds ratio [OR] = 27, P < 10 −16 ) ( Fig. 1 C).

To validate the biological significance of this manually compiled pathway, we applied STRING protein–protein interaction enrichment analysis, which confirmed highly significant interaction for the RORC consensus pathway (expected number of edges: 11, observed number of edges: 83, enrichment p < 10 −16 ).

However, larger differences were observed between organs that were highly significant ( P < 10 −16 for all four targets).

We found a strong and highly significant correlation between CpG O/E estimates in ortholog genes in S. mimosarum and S. dumicola (Pearson’s rho = 0.78 (0.77–0.79), p < 10 −16 ) ( Figure S9 ).

This evidence of highly significant PPIs (actual edges = 1015, expected edges = 405, P < 1.0 × 10 −16 ) and highly ASD-relevant GO BP enrichment showcases a clear example of how the PFC sex*genotype DE genes are embedded within a complex systems-level biological pathology that integrates abnormalities along these key processes and pathways.

While the correlation between studies was moderate (0.36), it was highly significant ( P < 1 × 10 − 16 ), demonstrating that a high degree of APP co-splicing across the genome was reproduced between studies.

Overall, a test of independence between the risk score tertiles and the potentially AAMR CNV count classes shows a highly significant association ( P < 1 × 10 −16 ) for both Fisher's exact test and a χ 2 test.