“highly significant”

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 ).

Epidemiological correlations We observed a highly significant correlation between having a psychiatric diagnosis and having an infection ( P = 2.16 × 10 −208 , OR = 1.72), including highly significant individual correlations between the specific psychiatric diagnoses and infection status (Table 1 ).

Of these, 843 genes were found in common with the previous set of genes differentially expressed in mutated samples (440 upregulated and 403 downregulated common genes in both sets), thus showing a highly significant overlap ( P =10 −206 ) between these analyses ( Figure 3 ).

Further, we observe that the converse comparison of off‐ > on‐milk genes to EPIT > placebo is also highly significant (OR 46.5; 95% CI [37.14, 58.22], P = 7.6e‐206, Figure 2f ).

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 ).

Among the 12 genes related to hormone secretion, Vgf (nerve growth factor inducible) showed a highly significant increase in expression in GCGR-KO α-cells (Log 2 FC = 1.38; p = 2.21E-203) (Fig. 4a ).

Fewer TEs are derepressed in smc4-1 (286) than in met1 (956), but 63% (181 of 286) of these SMC4 -dependent TEs overlap with TEs derepressed in met1 , which is highly significant ( P = 3.60 × 10 −203 ) given an expectation of only 3.1% overlap by chance.

In the present study, we found a highly significant enrichment of long TRD sequences in RA compared to healthy individuals ( P = 7.91e − 202, Additional file 32 : Fig S7).

Only functional connections with highly significant t values for regression (with p<1e-200 or |t|>40, one-sample t-test) are shown since otherwise there are too many significant connections.

MM in the darkorange2 module was plotted ( Figure 4B ), in which the GS and MM had a highly significant correlation (cor =0.8, P < 1e−200).

The analysis shows clear, highly significant (p-value < 1e-200) enrichment with matching FC signs between our SCZ analysis and reference PsychENCODE SCZ data (Supplementary Fig.

This finding was further supported by scatter plots, which demonstrated a highly significant level of connectivity within the turquoise module (cor = 0.77, P < 1e-200, Fig. 3 E).

Each gene also has a highly significant methylation quantitative trait locus (meQTL) ( KIAA1804: p < 1e-200; ANAPC2: p < 3e-248), indicating that methylation levels at these CpG sites are driven by meQTL and fenofibrate.