“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 ).

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 resulting network comprised 332 nodes and 1181 edges, with a highly significant PPI enrichment p -value < 1.0 × 10 −16 , indicating a non-random and biologically meaningful set of interactions.

The enrichment was highly significant (PPI enrichment p < 1.0e− 16 ), demonstrating that the observed interactions were unlikely to occur by chance.

The regression itself was highly significant ( R 2 = 0.93, P < 10 −16 ), and outliers were those points lying above or below a 99.9% confidence interval around the line of best fit.

The perfect association of the haplotype was highly significant (p<10 −16 ).

The Moschus –VRTI network comprised 71 nodes and 547 edges, with a highly significant PPI enrichment p -value < 1.0 × 10 −16 .

In other words, organisms sampled from a defined skin habitat were more similar to each other in 16S sequence than expected for a global background; this enrichment was statistically highly significant (p<<10 −16 , one-sided Mann-Whitney-U test, see Table S1 ).

The C > A mutations observed were associated with highly significant sequence-selectivity, being marked by an excess at CpCpT (NGCII082, odds ratio (OR) = 3.2, P -value < 10 -16 , χ 2 test) or TpCpA sites (NGCII092, OR = 1.7, P -value < 10 -16 , χ 2 test) and extensions of these motifs (Materials and methods; Note 6 and Figure S6 in Additional file 1 and Table S14 in Additional file 6 ).

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).

Statistical analysis (MANOVA) of the original data obtained from the cell populations indicated a highly significant difference between them (p<10 −16 ) suggesting that the nuclear SIRT1 pattern reflects structural differences in the nuclei between the cell populations.

The association of ZEB1 with promoters as well as with CpG islands and exonic regions is highly significant at a genome-wide scale (p < 10 −16 , Supplementary file 1D [ Gubelmann et al., 2014 ]).

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

As expected, our meta-analysis confirmed a highly significant association between the GTF2I rs117026326 polymorphism and pSS (OR = 2.17; 95% CI = 2.00–2.34, p < 1 × 10 −16 ) ( Figure 4 A).

This was again underpinned by the ANOVA analysis, reporting a highly significant influence of the flyer ( p < 10 − 16 ), but only a weak influence of the base ( p ≈ 0.086 ).

This detrimental effect of antibiotics was highly significant among the phyla Bacteroidota and Firmicutes_A (p < 1e–16, OR 0.7) and observed at various host ages ( Figure S2 E).

By enhancing the confidence levels of the PPI to the highest level (0.9), the number of edges decreased to 2534 and the node degree average to 8.11, but the PPI enrichment remained highly significant ( p < 1.0 × 10 −16 ), underscoring the quality of the proteomic data.

STRING analysis reveals a highly significant clustering ( p = 1 × 10 −16 ) of over 90% of the proteins identified ( Figure 7 ), with the existence of sub-clusters related to ER protein quality control, mitochondria membrane protein translocation, nuclear import, and stress granules.