“highly significant”

The Jaccard similarity coefficients and the highly significant p -values (hypergeometric test p < 1 × 10 −37 in all cases) of the overlap of the top upregulated genes in DN and the GNs indicated that upregulated genes were common not only among FSGS, MN and IgAN, but also among DN and the three GNs ( Figure 1B ).

Genes overexpressed in old but not young Nrg1 tg-type I mice (Supplementary Table 3 ) included many with immune and inflammatory functions, and IPA generated two highly significant networks ( p = 10 −37 and p = 10 −34 ; one is shown in Fig. 1e , the other in Supplementary Fig. 4 ).

The difference was highly significant (Mann–Whitney p = 1.0E–37); (2) location of matching regions: In non-seed-binding miRNAs/isomiRs, we observed that over half of the matching regions began between positions 6 and 8.

In fact, χ 2 test of independence of the three stresses is highly significant (χ 2 = 179.39, df = 4, p = 1.01e −37 ), suggesting that the three stresses indeed induce common epigenetic changes in A. thaliana .

When we compared these normal HSC commitment-associated DMRs with the DMRs identified in Satb1-deficient HSCs, we found a highly significant overlap (p=1.2×10 −37 ; hypergeometrical testing), with 37% shared hypermethylated DMRs and 15% shared hypomethylated DMRs (overall 22% shared DMRs) ( Supplementary Fig. 6e ).

The GICC GWAS meta‐analysis result for rs3761124 was highly significant (β = .29 (.02), p = 1.3E ‐37 ).

Fraction Csp3 showed highly significant correlations with Molar Refractivity (p = 1.7613E-37), MolVol (A3) (p = 4.2254E-26), and Druglikeness score (p = 9.35371E-33), while exhibiting marginally significant associations with TPSA(Å 2 ) (p = 0.059100432) and MolPSA (A2) (p = 0.055785406).

For the total number of virulence genes per genome, the difference between ST2250 ( n = 205) and non-ST2250 ( n = 107) genomes remained highly significant ( p = 1.87e − 37, Mann–Whitney test).

NORM ( P = 2.03E-05 in SM and P = 4.84E-06 in SM1), compared with highly significant results in the basic model of the nontargeted analyses ( P = 2.01E-37).

Afterwards, association signals from joint analyses of the 2 datasets ( Table 2 ) consistently showed highly significant association for HLA-DQB1 (P = 2.33×10 −37 ), PSORS1C1 (P = 5.70×10 −10 ) and TNIP1 (P = 4.68×10 −9 ), and also showed some evidence of association for RHOB (P = 3.17×10 −6 ).

Of course, with such huge sample sizes, the difference turned out to be highly significant statistically (Kolmogorov–Smirnov test, P = 4 × 10 −37 ).

The biomarker-derived risk score demonstrated independent prognostic value in CGGA-693 (multivariate Cox hazard ratio = 9.195; p < 0.001) after adjustment for WHO histological grade, with Kaplan–Meier analysis confirming highly significant survival separation (log-rank p = 4.60 × 10 −37 ).

The average sum is much smaller for Model 1 than for Model 4 and the differences between natural and simple design are highly significant (p<10 −36 , Welch's t -test).

Our results ( Figure 5b ) show a highly significant correlation (Fisher's exact test: p -value < 1*10 −36 ) between a nearby marking event and the decision to remove the adjacent bead. 3.5 The effect of pheromone marks and recruitment on context sensitivity Since pheromone markings act as triggers for the clearing behavior, we tested whether the marking rates could explain the context sensitivity described above (Methods and Figures 3d – g ).

Of the four rare variants, two were nonsynonymous to SLC5A10 and were highly significant (rs148178887, p = 1.13 × 10 −36 and rs61741107, p = 8.85 × 10 −56 ).

We found a highly significant replication (mean R 2 for expression = 0.071; p = 1.3 × 10 −36 ; mean R 2 for splicing = 0.047; p = 2.1 × 10 −29 ), with 50.2% genes and splicing having R 2 > 0.01 (Supplementary Figure 9 ).

We find a highly significant difference between these two means [t-test: t (478) = −13.618, p = 1.51×10 −36 ], indicating that, on average, observers are able to estimate admixture levels from photographs better than chance.

The differences in TIL scores between the 6 glioma entities were highly significant ( Figure 5b , p = 1.6e-36).

A highly significant overlap was found with ALI-grown healthy epithelial cells exposed to interleukin (IL) -13 ( GSE37693 ; p = 1.61E-36) and freshly isolated epithelial cells from severe asthmatic patients ( GSE63142 ; p = 1.24E-08) (Fig. 2m ).

The observed 1.8‐fold enrichment was highly significant (Fisher's exact test, P = 1.90 × 10 −36 ).

The correlation between mean catch-up saccades per second and microsaccades rate was moderate, with a Pearson correlation coefficient of r = 0.58, a 95% confidence interval of [0.51, 0.64], and a highly significant p-value ( p = 1.99e-36).

To test this possibility, we plotted final spindle length as a function of the area of the cell measured from DIC images, which is a proxy for cell volume because of the rotational symmetry of the embryo, across the RIAIL panel, and observed a highly significant correlation ( Figure 2D , p = 2.97E-36).

Although this genetic risk score shows a highly significant association in Caucasian ( P =3.94 × 10 −36 ), there is no evidence of association in the Chinese population ( P =0.21; Fig. 5 ).

The genomewide correlation using LDSC resulted in a very high genetic correlation between the male and female PD GWASes (rg = 0.877, SE = 0.0699) which was highly significant at a p = 4.24E‐36.

Coexpression of CD47 and IFT57 mRNAs Is Intrinsic to Cancer Cells A highly significant positive correlation was also observed between CD47 and IFT57 mRNA expression across the 1156 cell lines in the Cancer Cell Line Encyclopedia (CCLE) [ 26 ] ( p = 4.6 × 10 −36 , Table 1 , Figure 1 d).