Barely Significant

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highly significantp < 0.0010.0× alphaqualifiedgold
In the present study, the enrichment of OXPHOS and glycolysis at baseline and in drug-induced changes in resistant PDAC models was highly significant ( p < 0.001), however these pathways were not identified in the original transcriptional analysis of the Yang dataset [ 21 ].
highly significantP < .0010.0× alphaqualifiedgold
The factors “time on study” and baseline “pain on average” score measured on the BPI scale had a highly significant effect ( P < .001) on the BPI scale “pain on average” score, which means baseline pain severity and time treated with the study drug had an influence on pain on average at endpoint; study joint (hip or knee) had no significant impact on the BPI scale “pain on average” score.
highly significantp < 0.0010.0× alphaqualifiedgold
Zooming in on critical interferon response genes, the heatmaps and GEE analyses of their combined z-score ( Figure 4 a,b) showed that, despite heterogeneity in timing between individuals, there was a highly significant interferon-induced response already on d3 in the low-dose group ( p < 0.001), and on d9 and d6 for the no- and high-dose group, respectively.
highly significantP < 0.0010.0× alphaqualifiedgold
In WT, 65%–68% of clean RNA-sequencing (RNA-seq) reads could be mapped to transcripts of the Lodz University reference genome ( 26 ), while the rates were lower in ATSec (59%–66%) - a highly significant overall difference ( P < 0.001)—indicating that ATSec is genetically more distant to the reference than WT.
highly significantp < 0.0010.0× alphaqualifiedgold
Significance levels in this figure are denoted as follows: **** ( p < 0.0001) indicates highly significant, *** ( p < 0.001) indicates very significant, ** ( p < 0.01) indicates significant, * ( p < 0.05) indicates marginally significant, and ns indicates not significant.
highly significantp < 0.0010.0× alphaqualifiedgold
Results and discussion Variance estimates and G × E interaction Both the combined ANOVA (Table 3 ) and the AMMI model analysis (Table 4 ) revealed highly significant differences ( p < 0.001) among genotypes, environments, and GEI for the majority of yield and related traits evaluated across six test environments.