Excerpts

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 ].

However, in the DNaseI-controlled model, the GATA motif is highly significant (one-sided P =1.2×10 −245 , OR=11.5) for NRSF, suggesting a potential role for this sequence in promoting nearby NRSF binding after the surrounding region is made accessible by pioneer factors.

However, the predicted expression results for the discovery case samples that used the normal thyroid reference data showed a highly significant association ((additive model of linear regression) P =2.99 × 10 −244 , Fig. 2c and Table 2 ).

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.

The difference between African American and European American in this set was also highly significant (t-test p -value = 7.26x10 -237 ), and remained so when evaluating controls only, as cases may be enriched for fibroproliferative alleles above those in the general population (t-test p -value = 6.38x10 -127 ).

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.

A highly significant correlation with a smaller correlation coefficient was also observed among the other (non-training) genes (Pearson’s correlation coefficient: 0.24, p -value = 1.4e-229; Additional file 1 : Fig.

Cytochrome P450 enzymes such as CYP2A7 and CYP2A13 score highly as well, and these genes are implicated in bladder cancer but not normally expressed in breast tissue [ 47 , 48 ]. Results for alternative edge weights w ′ = w /2 are shown in Additional file 1 : Figures S7–S9, again with highly significant differences between real and shuffled edge selections (M–W P =1.59×10 −225 for ROC AUC, P =5.02×10 −213 for nDCG, and P =4.12×10 −181 for Spearman correlation P -values).

The correlation between the relative FC strength (to social-communicative-action system minus to manipulation-action system) during social-communicative-action perception and the relative activation strength (social-communicative-action perception minus manipulation-action perception) was highly significant (Pearson R = 0.48, p = 5.550 × 10 –225 , Fig. 5 a); Likewise, the correlation between the relative FC strength (to the manipulation-action system minus to the social-communicative-action system) during manipulation-action perception and the relative activation strength (manipulation-action perception minus social-communicative-action perception) was also significant (Pearson R = 0.486, p = 3.934 × 10 –231 , Fig. 5 b).

However, a highly significant overlap in DEGs was found between the cortex and non-cortex ( p = 1.5e−224, Fisher’s exact test; Additional file 1 : Figure S8), corroborating the conclusion that aging-related gene expression changes are largely convergent among the different regions.

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.

Highly significant positive correlations were observed between harvest CD34 and post‐thaw CD34 (Pearson's correlation coefficient r = 0.97, p = 3.4e‐223) and between WCC and TNC ( r = 0.88, p = 5.1e‐112), suggesting these highly correlated measures could be used interchangeably (Figure 1 ).

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 ).

Furthermore, there was a highly significant negative correlation ( R = −0.85, P = 1.56e‐221) between oil and protein content, which is consistent with previous studies (Figure S1 , Supporting Information).

Notably, we observed highly significant correlations between these predictions and observations, with a median Spearman rank correlation of 0.61 (median P < 10 −216 ).

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).

This overlap of up- and downregulated DEGs is highly significant (hypergeometric test P -value = 1.6 × 10 −213 and 1.6 × 10 −174 , respectively).

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.

This effect is highly significant in this dataset ( P = 1.2 × 10 − 211 ).