Among these, nfa23460 , nfa38830 , nfa43970 , and nfa9390 exhibited highly significant differences (P < 0.000001).
Excerpts
The observed reductions with the extracts were highly significant (significance p < 1*10 –6 ).
There was a moderate but highly significant correlation between GFP and SEAP expression (Pearson correlation coefficient = 0.72, p = 10 ‐6 ).
Both changes in slope, before and after 1994 to 2002, were highly significant (p < 10 -6 in both cases).
There was a highly significant correlation between COX-2 and PCNA levels in tumours (r's = 0.7896; P = 0.000001) and VEGF in tumour samples (r's = 0.4610; 2 P = 0.0320).
When we analyzed the gene expression data set, this pathway was also enriched highly significant ( p < 10 −6 ).
Only the model with KPR yielded a satisfactory fit, and a likelihood ratio test, with the absence of KPR being the null hypothesis and the presence of KPR being the alternative hypothesis, showed highly significant support for the KPR model (p<10 −6 , Figure 7D,E,F and Figure 7—figure supplement 5 ).
In contrast, highly significant differences were observed among the crop species (F 2,18 = 615.70, p < 0.000001; Table 1 ).
3 Results 3.1 Nutrient main effects The overall mean effect of P was found to be highly significant (p < 1e −6 ) with an average yield gain of 251 kg ha −1 at an average rate of 15 kg P ha −1 .
We find a considerable fraction (~30%) of Pol III-occupied loci reside within CpG islands, a highly significant overlap (p-value<10 −6 ), and a striking correlation exists between Pol III occupancy and CpG content at Pol II promoters.
Among participants, n OST and n JSN had a correlation coefficient of r = 0.66, which was very highly significant (p<10 −6 ).
The difference between the removal of the 5224 genes with high LEVs (improvement of interlaboratory correlation of 0.03) and random deletion of 5224 genes (mean increment of interlaboratory correlation of –0.00016) was highly significant ( P < 10 −6 ).
The expression profiles of highly significant differentially expressed genes [pvalue < 10 -6 with a FDR (False Discovery Rate) of 1.48. 10 -4 ; n = 292] have been categorized using hierarchical clustering.
A strong, highly significant correlation between the frequency of tracking interruptions with the right and left hand was found (Pearson correlation, r = 0.834, p<10 −6 ).
Both values are highly significant (p-value < 10 -6 ).
Regardless of the bootstrapping approach, while there is overlap in distributions of bootstrapped estimates of t for LR and HR loci for both species pairs, the distributions are clearly significantly different (Mann-Whitney U test, p <10 −6 ).
These complex conversions explain the highly significant deletion bias observed at the 9A/19A (RR = 0.00; P < 1 × 10 −6 ), favoring the transmission of the 9A over the 19A ( Table 1 ).
The correlation coefficient (r = 0.44) was found to be highly significant (p<10 −6 ).
When all tumor samples were evaluated together the correlation of GZMH, ABL1, IL-7, LY9, IL-12, SCAMP3, and CD244 were highly significant ( p < 1 × 10 −6 ).
The differences between the various times were highly significant (P << 10 −6 , unpaired t test).
Position-specific stability is correlated to a greater extent than is enthalpy or entropy Closer inspection of the correlation distributions suggested a second pattern: within homologous proteins, enthalpy and entropy generally did not exhibit correlations as great as those for stability (modes of 0.39, 0.50, and 0.61 respectively, Table 1 ; differences between these homolog distributions were all highly significant, exhibiting p <10 −6 as assessed by chi-square tests with 19 d.o.f ).
The differences in the SD values between the POST and PRE groups were highly significant, P < 10 -6 for TP53 and AML1 , and P < 10 -7 for CEN17 (Table 1 ).
The observed enrichment (7 of 7) is highly significant (p-value = 1e-6), demonstrating that our serum proteomic analysis finds high concordance with validated assays.
GARFIELD reads variants from our GWAS summary statistics using two p -value thresholds: genome-wide significance ( p = 5 × 10 −8 ) and borderline significant ( p = 1 × 10 −6 ) in its analysis.
ANOVA with the main factor Age-Group (adults, children) and repeated measures factor Velocity (3 conditions) revealed a highly significant effect of Velocity on gamma power (F (2,122) = 172.8, ε = 0.87, p < 1e −6 ; η 2 = 0.74), but no effect for the Age-Group or the Age-Group*Velocity interaction (p’s > 0.6).