“highly significant”

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 ).

First, and as noted by other studies [ 19 , 20 ], we saw a highly significant difference ( P << 10 -16 ) in the AFS of silent versus missense variants (Figure 5a ) with a skew towards rare alleles in the latter, so that approximately 63% of missense variants were <1% in frequency whereas approximately 53% of silent variants fell into this category.

The network comprises 26 nodes and 131 edges, with a highly significant PPI enrichment p < 1.0e-16.

Indeed we observed for all species a highly significant correlation between GC content and thermodynamic stability and folding strength (Spearman’s rho =0.239, p -value <10 -16 for all lincRNAs considering folding strength) as observed in [ 49 ].

Acquisition and analysis of intersection targets of ROSA and CHIKV- The PPI analysis of the CHIKV disease target network revealed a total of 502 nodes and 1,386 edges, with a highly significant p-value of < 1.0e-16 ( Figure 2A ).

As illustrated in Figure 3 , there was a highly significant correlation between the genetic and transcriptome covariances for this set of genes ( r = 0.035, P = 1.0 × 10 −16 ; Figure 3 ).

Protein–protein interaction (PPI) analysis revealed a highly significant network connectivity among these proteins ( p < 1.0 × 10 −16 ).

Cruise-specific calibrations of shipboard fluorometers, nephelometer/optical backscatter, and oxygen sensors yielded highly significant ( P <10 −16 ) linear relationships between all discrete and calculated concentrations of chlorophyll- a , SPM and DO ( Fig. 3 ).

Moreover, pairwise Levene’s tests for equality of variances between ancestry tracts were all highly significant ( p < 1 × 10 −16 ).

After removal of disconnected nodes, the refined network consisted of 267 nodes and 1154 edges, with an average degree of 8.64 and a highly significant PPI enrichment ( P < 1.0e-16).

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).

The resulting network comprised 14 nodes and 87 edges with a highly significant enrichment (p-value <1.0e–16), indicating nonrandom functional connectivity among apoptosis, inflammation, and oxidative-stress regulators.

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

This overlap is highly significant ( P -value <10 −16 , hypergeometric test where the intersection is 9000 between 700 000 conserved islands and 60 000 DHSs, assuming a total of 30 000 000 potential loci), consistent with the idea that sequence conservation at overlapping unannotated conserved island/DHS loci reflects the importance of regulatory factor binding to DNA.

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).

The overlap between our set of 2,407 genes and this set of 1,092 genes was highly significant (p<1x10 16 , Fisher’s exact test, S2B Fig ) and, since RNA-seq is typically more sensitive than microarray analysis [ 31 ], we proceeded with the larger gene set.

It further confirmed that the association of clock PRRs with flowering control genes was not random and connected with a highly significant value of p < 1 × 10 −16 .

The network comprised 87 nodes and 1, 198 edges and showed highly significant enrichment (PPI enrichment p < 1.0 × 10 -16 ).

The interaction between fingertip ROI and stimulation condition was highly significant ( F 16,80 = 71.7, P < 10 −16 , Greenhouse‐Geisser correction: F 1,5 = 71.7, P < 10 −3 ).

Equation ( 1 ) was highly significant when WMH was used instead of QRI ( F = 139.8, p < 10 −16 ), however, SMI was not a significant predictor ( t = 1.9, p = .06).

Moreover, the Pearson correlation between association strength of shared SNPs across the two tissues was highly significant ( P <10 −16 ), highlighting the conservative genetic architecture of C18∶1, C18∶3, C20∶0 and C20∶1 in the two tissues.

The resulting network showed a highly significant interaction among the proteins (p value < 1.0e −16 ).

The resulting network comprised 308 nodes and 3649 edges, with an average node degree of 23.7, a local clustering coefficient of 0.494, and a highly significant PPI enrichment p -value < 1.0 × 10 −16 , indicating robust protein–protein associations beyond random expectation ( Figure S2 ).

In contrast, highly significant differences were observed between promoter usage in ΔCTCF-HPV18 episomes compared to HPV18 following keratinocyte differentiation (p < 1E-16).

The difference in degree of nucleotide conservation between the IDR and the remainder of the molecule is highly significant ( P <10 −16 ), and indicates a dramatically higher level of divergence for the IDR-encoding portion of the mammalian TS transcript.