“highly significant”

The rejection of unimodality was supported by a highly significant dip test 21 (dip = 0.086275, p < 10 –293 ) using the Python “diptest” package available at https://pypi.org/project/diptest/ .

While due to its relative simplicity only a weak positive correlation was expected for the Zhang model, for reasons unclear, a highly significant ( p < 10 −293 ) negative correlation is observed ( Fig 5 , left).

(2018) , which also tested for ASE in crosses between PAXB and RABS in the VTP, we found a highly significant overlap (Fisher's exact test, P = 8.83 × 10 −292 ).

In agreement with the elevated transcription in the HEID, genome wide, RAD50 showed a strongly positive (cor = 0.565) and highly significant ( P = 2.4 × 10 −281 ) correlation with transcriptional strength.

Consistent with this idea, plotting eQTL effect size vs MAF in the baboons results in a very strong, highly significant negative correlation (r = −0.723, p < 10 −280 ; Figure 3C ), with no large effect eQTL detected at higher MAFs.

First, a modified t-test reduced the effective sample size to 11,010.13 (df = 11,008.13), yet the corrected test statistic remained highly significant (t = 36.84, p = 3.06 × 10 −280 ).

Moreover, when considering all the genes, we observed a positive correlation between expression change and the change in H3.3 enrichment that is modest, but highly significant (Spearman rank correlation of 0.28, p-value<1e-275) ( Figure 3C ).

Such an overlap is highly significant considering the size of the yeast proteome ( p < 10 -269 by Fisher's Exact Test), indicating that our approach is robust with regard to the gold standard used.

In total, 568 predicted promoters were found in proximity (≤40 nucleotides) of the putative TSSs, showing a highly significant co-occurrence of predicted promoter and TSS (p-value<10 −263 ).

Statistical analysis using the Kruskal–Wallis test confirmed highly significant differences in expression distributions across regulatory categories ( P = 3.28e−261).

This overlap is highly significant, as the probability of such an overlap to occur in random is very low (p<10 −256 ). 45% of the 402 overlapped CpG islands are located in intronic and intergenic areas, 6% in promoters and 49% in exons.

A t-test of the distribution of LDA accuracy scores between the pathway-centric versus conventional approaches is highly significant (p<1.0e-255).

Both enrichments are highly significant (χ 2 P < 10 −250 and P = 9.4 × 10 −283 , respectively).

The loci at chromosome 6 at the TREM2 locus, in cis, and chromosome 11 at MS4A locus, showed highly significant association ( P < 1.5×10 -250 ; Table S 4 ) in plasma, indicating shared genetic regulation between CSF and plasma.

The analysis revealed a statistically highly significant distinction ( p = 4.95e-247) between the predicted scores of the causal and non-causal associations (Fig. 3 b).

3 a) SV755331 is localized within LD with rs6889665 exhibiting a highly significant association with recombination hotspot activity (p-value = 2E-246) [ 44 ].

In support of this, the 4,060 H3K36me3 hypomethylated genes (Additional file 2 ) have a highly significant overlap of 1,084 genes ( P <1e-239) with the 2,158 down-regulated genes in sdg8-5 (Additional file 3 ).

EV4A,B ; Dataset EV8 ) and found a highly significant overlap (OR = 5.72, P value = 9.06 × 10 −239 using all significant genes by JSD magnitude; OR = 14.98, P value = 3.43 × 10 −200 using top 1000 ranked by JSD magnitude for both) between differentially methylated genes identified by JSD in the isolated epidermis and whole skin during aging, supporting the validity of the original data in whole dorsal skin.

This is a highly significant level of correlation (P = 3.2×10 −233 as determined by hypergeometric distribution analysis) ( Figure 1D ) that validates the biological reproducibility of the system.

The Mann–Whitney U test showed highly significant differences between male and female body weights in both unadjusted ( p = 2.7 × 10 −223 ) and adjusted ( p = 2.7 × 10 −193 ) groups.

This increase closely resembled the bone resorption marker CTX pattern, with DVP showing a highly significant correlation with CTX ( p = 1.1E −222 ), as illustrated in Figure 5 .

The comparison of AS events inferred from tiling arrays to those independently derived from RNA-seq data showed a highly significant overlap between both sets of results (9.2-fold overrepresentation, p-value < 10 -221 ) (Figure 6 ).

This presentation demonstrates the high degree of similarity in the gene expression response, and the numerical correlation between the responses was highly significant (p <10 -214 ; chi-square test).

The Kruskal–Wallis test revealed highly significant differences in elevation distributions across species ( H = 1112.88, p < 2 × 10 −212 ), indicating pronounced elevational structuring within the mammalian community.

However, here we found that ToxoNet exhibited a highly significant overlap in protein interactions with both T . brucei (283 common interactions, p = 6.4E-204) and Plasmodium (450 common interactions, p = 0; S6B Fig ).