However, the effects were clearly non-random, with highly significant enrichments of specific pathways and an overall protein–protein-interaction enrichment p -value of <1.0 × 10 −16 upon bioinformatics analysis at the STRING (search tool for the retrieval of interacting genes) webpage in Heidelberg.
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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 .
In particular, there was a highly significant overlap ( p < 1E-16, one-sided Fisher’s exact test) between the top 56 enriched cytobands from the CBTN cohort and a top set of 79 enriched cytobands from the PCAWG cohort, involving 29 cytobands (Figure S1e).
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 ).
The constructed PPIN comprised 44 molecular nodes interconnected by 296 edges, demonstrating highly significant interaction enrichment ( p = 1.0e-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 difference of the average log2-scaled metformin levels in blood between both groups was highly significant ( p < 10 −16 ).
However, larger differences were observed between organs that were highly significant ( P < 10 −16 for all four targets).
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.
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.
Each result is highly significant ( p < 10 −16 , for each predictor.
The network showed strong biological relevance with highly significant enrichment ( p -value < 1.0e-16).
However, the overlap between the two categories of the interagency transcribed regions is highly significant ( P -value < 10 -16 , chi-square test).
This highly significant directionality ( P < 10 -16 ) is not expected by models of statistical positioning, but suggests instead that Isw1-dependent shifts reflect its function during elongation [ 15 ].
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 ).
When we compared RtAI and the number of HGT events of each COG (again controlling for the fact that some genes appear in fewer organisms; see ‘Materials and Methods’ section) we, once more obtained a highly significant correlation ( r = −0.4125 and P < 10 −16 , pe < 0.001; n = 917).
Results Strong, negative association between elevation & lung cancer incidence Performing best subset regression for each cancer, we found a highly significant, strong negative association between elevation and lung cancer incidence with a standardized coefficient ( β z ) of −0.35 99% CI [−0.46, −0.25] ( p < 10 −16 , one-tailed t -test) ( Table 2 ).
It exhibits highly significant protein interaction enrichment ( p < 1 × 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 ).
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 ).
The PPI network analysis revealed highly significant connectivity ( p < 1.0e-16), with functional enrichment in protein refolding and cellular stress response.
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 protein–protein interaction enrichment was highly significant ( p -values < 1.0 × 10 –16 ) for both #BiAll-93 and #MonoAll-2.13 (Supplementary Table 4a, b), and most of the proteins grouping together were linked to six distinct biological functions (Fig. 3 d–f). #BiAll-93 and #MonoAll-2.13 cells shared a cluster, representing the combination of four Gene Ontology (GO) terms that were associated to stress response, cell adhesion and proliferation, and processes of cellular and organismal development.
The network displayed an average target degree of 4.97 and a local clustering coefficient of 0.514, indicating a highly significant PPI enrichment (p-value <1.0e-16).
Twenty-four GST peptide isoforms were identified under seven different classes with a highly significant protein-protein interaction between GST groups and within other detoxification metabolism-related peptides ( p -value < 1.0 × 10 −16 ).