“highly significant”

Indeed, the latter method produces a highly significant correlation (σ = 0.97, p < 10 −100 ) between the number of afferent and efferent partners of each cell.

This comparison yielded a highly significant overlap ( P < 1e−100) in 2419 of 3802 DEGs, validating our adopted strategy ( supplemental Figure 1 D).

A more detailed analysis reveals that a clear and highly significant ( p < 10 -100 , Wilcoxon rank sum test) difference is seen between the mean of the CP M sc ( M ̄ s c = 0.19 ± 0.30) and the mean of the negative sequence M sc ( M ̄ s c = 0.02 ± 0.09).

Notably, DNMT3A2 -exon expression in AML patients revealed a highly significant correlation with DNAm levels at CpGs that were hyper- and hypomethylated upon KD of transcript 2 in vitro ( P < 10 −100 and P = 2 × 10 −37 , respectively; Fig 4B ).

The reduction in likelihood caused by eliminating one of the pause states was highly significant, and cannot be attributed simply to the elimination of two parameters ( p <10 -100 ; likelihood ratio test).

Remarkably, of the 1733 proteins in our data set, 62% were elevated significantly in at least one mutant (62% was highly significant in comparison to the null hypothesis in which peptide ratios are randomly assigned to proteins ( p value < 1e-100)), suggesting that the Cdc48 network has a profound impact on the UPS that is greater than has been previously appreciated.

Similarly, when surveying combined protein expression and SV data across 328 cell lines 38 , 54 , 55 , we observed a highly significant overlap ( p < 1E−100 chi-square test) of events involving CRISPR knockout effect in genes with events involving SV-associated protein over-expression (Fig. 8b ), involving 2682 genes, 178 with combined breakpoint and protein over-expression involving at least 5% of cell lines examined (Supplementary Dataset 10 ).

Likelihood ratio tests indicated a highly significant genetic effect (LRT = 197.9, df = 1, P < 10 -100 ), suggesting that approximately 70% of the phenotypic variation is attributable to genetic factors.

A very interesting observation is the highly significant ( p < 10 −100 ) reduction of the expression variability in the cancer nodules with respect to the normal tissue.

To verify these observations, we calculated cross correlations between these BLISS samples using bins of 100 kb ( Figure S1 A) and found highly significant (p < 1 × 10 −100 ) correlations within each cell type, further indicating that the pattern of DSBs along the genome is cell-type specific.

Gender and age Even after exclusion of sex-linked genes, gender was independently associated with the largest number of expression traits ( n = 31) which, considered all together, contributed to a highly significant discrimination between males and females ( P <10 −100 ).

We found that the similarity among all pairs of networks was highly significant (hyper-geometric test P -value <10 −100 ), and hence we focused on the F -score as this was a more sensitive measure for comparisons.

Sequencing of MapSPARTA-associated DNA confirmed that it associates with both plasmid and genomic DNA and showed a relatively weak but highly significant correlation between specific DNA and small RNA sequence abundance ( Figure 4 G; Pearson correlation coefficient r > 0.32, p < 10 −99 ).

When p was below the calculation limits of the software (highly significant) we noted p<1.0e−99*.

Due to the high number of reads, all overrepresentations starting from i = 3 were highly significant with p values > 10 99 (based on binomial distributions).

http://www.ncbi.nlm.nih.gov/geo/ ) data base indicates a highly significant anti-correlation with a gene signature obtained from primary human lung fibroblast treated with dithiothreitol (DTT) for 24 hours (Overlapping P = 1.7E-99) [ 63 ]; and a significant correlation with a gene set from dexamethasone-treated (24 hours) human primary osteoblast-like cells (HOb)(GEO series GSE10311 .Overlapping P = 1.0E-46).

The SNP-based heritability estimated on the observed scale was 0.78% (SE = 0.04%), which was highly significant (Z = 21.09, P-value = 9.41 × 10−99), further supporting a polygenic basis for ovarian cancer.

TH interneuron density increased steeply toward ventral caudoputamen ( β = 519.7, p = 5.6 × 10 −85 , N (hemispheres) = 13, N (sections) = 299), while SST interneurons showed a more moderate but highly significant ventral increase ( β = 253.9, p = 3.9 × 10 −98 , N (hemispheres) = 12, N (sections) = 276).

The regression was highly significant ( F test p value = 6.6e−98), and the slope coefficient was positive (0.483), showing that DE genes in physical contact tend to have similar changes in the expression levels between shoots and roots, a behavior consistent with the existence of coregulation mechanisms.

Interestingly, the cancer-all mutations are very similar to the putatively benign mutations in distribution, with only a small, albeit highly significant, enrichment at interior and interface positions (57%, odds ratio [OR] = 1.07, p = 1.63 × 10 −97 , Fisher’s exact test).

Additionally, the chi-square test for taxonomic distribution differences was highly significant ( χ 2 = 549.60, p < 7.64E-97), indicating that microbial composition varies between conditions.

The Caucasian GRS showed a strong and highly significant association with RA in UKRAG (OR = 2.87, 95% CI 2.60 to 3.17, P = 2.7 × 10 -96 ) when all UKRAG cases and controls were incorporated in the analysis.

We also observed a highly significant difference in the expression variation between lincRNA probes and probes mapping to protein-coding transcripts (Wilcoxon Mann Whitney P<3.85×10 −96 ).

We did not find a significant sex difference in overall PRS effects (OR male = 4.70 (4.16–5.31), OR female = 5.28 (4.80–5.80), P difference = 0.141, two-sample two-sided Z -test), even though the effect of sex was highly significant (OR = 2.54 (2.33–2.78), P = 1.93 × 10 −94 , one-sample two-sided Z -test).

The correlation between deltaSVM and effect-size for the 579 SNPs within 100 bp of a DHS is highly significant, with a Pearson correlation coefficient C = 0.721 (t-distribution P = 7.68e-94) ( Fig. 2c ).