Excerpts

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).

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 ).

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).

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).

The correlation of IVW analysis is highly significant (β = −0.16, P = 5.91 × 10 −36 ).

The overlap of the downregulated genes in strains overexpressing the D303A or D346A variants compared to those in the strain overexpressing wild-type RNase E was statistically highly significant ( P < 10 –35 and < 10 –46 , respectively, hypergeometric test).

The results showed pathways involved in repairing damaged nucleotides/DNA as highly significant in determining alkylating agent sensitivity: the Fanconi anemia pathway, ( p = 1.04 × 10 −35 ), homologous recombination (2.00 × 10 −24 ), nucleotide excision repair (2.77 × 10 −9 ), and non-homologous end-joining (1.04 × 10 −7 ) ( Figure 6 ). 3.

Of note, in agreement with the known relationship between ΔAUC CP /ΔAUC GLU and GLUSENS in the general population, in our population of renal transplant patients, we also observed a quite high correlation between the two, as mirrored by the highly significant p -value ( p = 2.22 × 10 −35 ).

The different response to hc‐IEDs for sample entropy and delta power was highly significant ( p = 6.3 × 10 −35 , Wilcoxon rank‐sum test).

In the liver, six highly significant modules were identified ( Figure 4 A–D and Figure S6 ): MEbrown (cor = 0.85, p = 2.3 × 10 −34 ; transcripts no. = 119), MEblack (cor = 0.83, p = 1 × 10 −200 ; transcripts no. = 925), MEcyan (cor = 0.54, p = 0.0012; transcripts no. = 33), MEsalmon (cor = 0.63, p = 8.5 × 10 −05 ; transcripts no. = 33), MEgreen (cor = 0.68, p = 3.1 × 10 −22 ; transcripts no. = 154), and MEgreenyellow (cor = 0.34, p = 0.049; transcripts no. = 34) ( Figure S7A–F and Figure 4 E–K).

A second, highly significant set of associated variants in 1q32.2 was defined by the lead SNP rs570516915 ( P = 5.25 × 10 –34 , OR = 8.65, Fig. 2b ).

Other highly significant pathways included skeletal system development ( p = 8.431 × 10 −34 ), cartilage development ( p = 8.904 × 10 −34 ), and ossification ( p = 1.231 × 10 −33 ).

This analysis revealed a novel variant, rs148726219, located on chromosome 19q13.32 (>500 kb from APOE ) which showed highly significant association with AD in DF3 (p = 8.9e-34, OR = 2.5) and had further increased significance in the later release DF6 (p = 2.7e-54).

Further analysis of the differentially methylated probes in all primary human keratinocytes from 13 different donors also showed a moderate, but robust and highly significant ( p = 1.4 × 10 −33 , t -test) reduction of DNA methylation in the DHM-treated cells ( Figure 2B ).

A highly significant positive correlation ( p value < 1e−32; R 2 = 0.59) was observed between the total number of additional HGs formed within a Pango lineage and the total number of genomes assigned to that lineage.

Thus, we used HOMER analysis for known motifs, revealing highly significant consensus motifs such as NRF1 ( P = 10 −30 ) and ZBTB33 ( P = 10 −24 ) ( Fig S6A ).

The purple regression line shows the highly significant correlation with log(income) that has been previously identified for the Gallup data ( P < 10 −30 ).

(Of note, the EMN estimation was repeated across different p value thresholds [i.e., defined as the limit of the top 0.5% p values and top 0.3%], obtaining consistent results across all thresholds, with strong highly significant correlations with the original EMN values [all r ~ 0.84, p < 10 −30 ].) Next, taking the 7718 values as data, we used a novel contrastive trajectories inference (cTI) algorithm to aggregate the DNAm data by identifying the trajectories of individuals aligned/ordered with the severity of epigenetic alterations hypothetically associated with maternal neglect.

The association between the two classifications was found to be highly significant (χ 2 = 138.3, p = 6.4 × 10 −29 ).

In two-way (genotype and environment) ANOVA, the genotypic variations for the four index traits were highly significant ( P -value = 8.57e-29 ~ 3.62e-11) (Table S3 ), indicating the feasibility of conducting GWAS for the four index traits.

Pathways showing highly significant results include the MAPK signalling pathway ( p -value = 1.29E-28), the FoxO signalling pathway ( p -value = 8.09E-19), the HIF-1 signalling pathway ( p -value = 9.65E-19), the PI3K-Akt signalling pathway ( p -value = 1.09E-18), and the insulin signalling pathway ( p -value = 2.87E-16).

The type of incubation fluid exhibits a highly significant impact on the sorption ability, as indicated by an exceptionally low p -value ( p = 2.45 × 10 −28 ), suggesting that the fluid type strongly influences the swelling behavior of hydrogels.

However, although the difference in terms of percent variation explained in RBC by SSCCA vs SSMCCA methylomics CV1 is highly significant (p-value = 3E-28), the absolute difference (4.27E-8 percent variance explained) is tiny, suggesting the difference between the performance of two methods is negligible.

Although the MHC association is highly significant in both OLP and non-OLP, it is dramatically stronger in non-OLP ( p = 5.6 × 10 −28 for difference in effect), and the association in non-OLP near CLEC16A does not even reach nominal significance in OLP.

The discrimination capacity of the model was high (AUC = 0.811) and highly significant ( p = 1.782 × 10 –27 ).