“highly significant”

When we compared the hu.MAP 2.0 interactions to the most co‐expressing pairs in Kustatcher et al , we see a highly significant overlap ( P ‐value < 10E−10, hypergeometric test) indicating a high degree of consistency between the orthogonal datasets. hu.MAP 2.0 complex map Once we confirmed our protein interaction network was of high quality, we then clustered this network using a parameterized two‐stage clustering algorithm to identify highly connected proteins which represent protein complexes.

We then compared this pulmonary endothelial cell PAH network with the previously described human PAH disease module inclusive of 357 genes ( 19 , 23 , 24 ) and found a highly significant overlap between these 2 networks ( P < 1.04 × 10 –9 ) ( Supplemental Figure 3D ) as well as between the pulmonary endothelial in inflammatory PAH with other inflammatory (positive control) diseases in the human interactome ( Supplemental Table 2 ).

The higher the percentages of explanation of variation the better the variables in the models explain the redox parameters. The linear regression model for TAOS accounted for 24.9% of the variation. According to our analyses, highly significant predictors for TAOS were creatinine ( p = 1.04e-09), TG ( p = 1.05e-06), and PH ( p = 0.0006).

This overlap was highly significant ( P = 1.05 × 10 −9 , hypergeometric test), suggesting QKI directly regulates APA of this subset of mRNAs ( Figures 2A and 1B ).

1 ; interestingly, we found that this enrichment for low-specificity sgRNAs was less pronounced but remained highly significant ( p = 1.1e−9, Fisher’s exact test), showing that the signature of off-target effects can be disguised in noisy screens.

Block H1.2 was highly significant in Stage 2 data ( p = 1.12 × 10 –9 ), while both blocks H1.1 and H1.3 were nominally significant ( p < 0.002 and p < 0.0003, respectively).

The OPLS‐DA identified one highly significant model (CV‐ANOVA p = 1.13177e−09) separating the groups (Figure 1A ).

Moreover, surgical intervention occurred earlier in patients without osteolysis compared to patients with osteolysis (median 11.5 months compared to 72 months when duration since the primary prosthetic joint replacement was considered, and 2.5 versus 36 months since the last surgical intervention; the differences are highly significant with p = 1.2 × 10 −9 and p = 1.6 × 10 −13 , respectively).

6 ) and this was highly significant for the proapoptotic targets BAX an d PUMA ( p = 1.2 × 10 −9 and p = 1.8 × 10 −14 , respectively).

Both of these metabolites were correlated with previous targeted measured blood triglycerides showing a highly significant association (r = 0.511; p = 1.2E-9) and (r = 0.348; p = 6.8E-5), respectively.

3 c pattern, the separations between data-point distributions for all nearest-neighbor pairs of pre -transition States are highly significant in one or both of the ΔHbO 2 Sat ( p = 1.2 × 10 −9 –9.3 × 10 −4 ) or ΔtotalHb ( p = 5.5 × 10 −5 –4.3 × 10 −4 ) dimensions.

The high frequency of the correlation of the known causative gene with the overall LGMD2 gene set is highly significant relative to the mean number of genes (n = 72) in each 6 Mb interval (p-value = 1.24e-09).

A highly significant correlation was found between the spontaneous tumor incidence and urethane-induced tumor multiplicity phenotypes (r = 0.94, −log P = 8.9), whereas correlation between the spontaneous tumor incidence and urethane-induced tumor incidence phenotypes was weaker (r = 0.76, −log P = 3.8) ( Figure 1 ).

Geographic source was determined to be a nonsignificant factor for the expression level of the biomarkers ( p = 0.11), whereas arsenic exposure was determined to be a highly significant factor ( p = 1.3 × 10 −9 ).

The ancestry-enrichment test detected highly significant signals ( P = 1.3 × 10 −9 ) mapping MAK16 , a gene with important roles in ribosome biogenesis during the G1 phase of the cell cycle.

A model combining these three variants was highly significant ( P =1.3 × 10 −9 ) with a 0.85 effect size between lowest and highest risk groups.

This means we found a 7.5-fold under-representation of CTCF sites in the differentially methylated loci (0.2% in differentially methylated fragments vs 1.5% in all fragments), which was highly significant ( p < 1.3e-09 by Proportional Test).

This analysis revealed a highly significant Treatment × Block interaction (F(5,352) = 10.729, p = 1.30 × 10 − 9), indicating that freezing dynamics across experimental blocks differed as a function of treatment condition.

When analysed within the largest of our cohorts (YFS) the minor allelic effect size of rs113288603 increased from non-significant ( beta = 0.05, p = 0.522) to highly significant ( beta = -0.47, p = 1.32E-09) when rs56113850 was added to the model; when an interaction term (rs56113850*rs113288603) was also added to the model the effect size further increased ( beta = -0.62, p = 1.32E-03).

There was a highly significant difference in the percentage of cells classed as place cells by the different methods (p = 1.35x10 -9 , linear mixed-effects model with method as a fixed-effect and mouse ID, with session number nested, as a random effect), with the Information method detecting the highest number (47.0 +/- 12.2% (mean +/- std)), followed by the Peak method (34.5 +/- 11.1%) and the Stability method (16.5+/- 8.8%), while the Combination method only classified 3.9 +/- 1.9% of cells as place cells.

Pairwise group comparisons using Fisher’s exact test revealed a highly significant difference in the morphology of EVs between patients with GBA1-PD carrying the p.L444P and p.N370S mutations ( p = 1.37 × 10 −9 ).

Similar to the maximal model this regression analysis revealed statistically highly significant contrasts between CL task as the baseline and FB ( p = 1.37e-09) and IG task ( p = 1.96e-08) but no significant effect between CL and TB task ( p = 0.679).

coli presence was highly significant ( p -value = 1.39E-09), the effect was very small.

pdb: 1yzf ) with highly significant p-values (p = 1.4 × 10 -9 ).

Enrichment analysis (Fisher's exact test using Gene Ontology terms) of those genes with increased expression revealed highly significant enrichment in genes with the terms ‘cell cycle’ (45 genes, enrichment p = 1.4E-9), ‘kinetochore’ (8 genes, p = 1.5E-6), ‘pericentric chromosome-binding’ (10 genes, p = 3.4E-6), ‘DNA replication’ (17 genes, p = 6.0E-6), and ‘DNA-binding’ (103 genes, p = 0.0001), whereas analysis of the genes that were decreased revealed enrichment in genes with the terms ‘membrane-binding’ (391 genes, p = 9.8E-12), ‘integral-to-membrane’ (333 genes, p = 5.1E-9), ‘lysosomal’ (24 genes, p = 1.2E-5), and ‘golgi apparatus’ (29 genes, p = 0.0001) (a complete list of the terms is in Figure S2 ).