Barely Significant

Excerpts

514,629 sentences

highly significantP = 7.97x10 -100.0× alphaqualifiedgold
Similarly, the interactions between the two fruit fly species and the temperature regimes were found to be highly significant for adult fecundity (F = 11.85; d.f. = 5, 168; P = 7.97x10 -10 ).
highly significantP = 8.4 × 10 −100.0× alphaqualifiedgold
Analyses of differential expression of the genes through the FUMA pipeline 37 recapitulated these findings, indicating highly significant (minimum P = 8.4 × 10 −10 ) upregulation in prenatal brain tissue and downregulation postnatally for the first cluster, and vice versa (minimum P = 1.1 × 10 −11 ) for the second cluster, see Supplementary figure 3 .
did not reach statistical significanceP = 8.9 × 10 −100.0× alpha
Individually, these did not reach statistical significance, but when information was combined for all rare variants with an allele frequency of <1%, the results were highly significant (OR = 3.72; 95% CI = 2.38–5.82; P = 8.9 × 10 −10 ).
did not reach statistical significancep = 8.9 × 10 –100.0× alpha
highly significantp = 8.9 × 10 –100.0× alphaqualifiedgold
Although these variants did not reach statistical significance individually, the results were highly significant when they were combined (OR = 3.72; 95% CI = 2.38–5.82; p = 8.9 × 10 –10 ) ( Vallet et al., 2015 ). 22 distinct variants were recently identified in a Belgian population.
highly significantp = 0.0000000009760.0× alphaqualifiedgold
A similar evaluation of the CONTROL gene set suggested a highly significant overrepresentation of different intracellular processes, such as extracellular matrix (ECM) receptor interaction ( p = 0.000000000976—BIOPLANET and p = 0.00000000616—KEGG), Beta-1 integrin cell surface interactions ( p = 0.000000437—BIOPLANET), ABC transporters ( p = 0.0000307—BIOPLANET), and various other transmembrane pathways ( Figure 2 b).
highly significantp < 10 –90.0× alphaqualifiedgold
These effects are further amplified when adding another variable modification (search strategy D; Figure 2 ; mean 1.95). Because of the bimodal distribution of the target populations even after log(2) transformations, the Kruskal–Wallis test was employed for statistical testing and showed highly significant changes ( p < 10 –9 ) in both score distributions for search strategies C and D.