“highly significant”

This difference is highly significant ( t -test, P = 2.15 × 10 − 68 ).

The regression model including these four significant factors was moderately predictive of matrix-like volume (R 2 = 0.32) but highly significant (F (7, 844) = 57.8, p = 1.2 × 10 –67 ).

The contingency table comparing the results from the two classification algorithms yielded a highly significant level of association based on Fisher’s exact test ( P = 2.15 × 10 −67 ).

The difference in free energy values between genes with decreased TE in Silvestrol and insensitive genes was highly significant ( P =2.53 × 10 -67 ) and a difference in distribution of ∆G values from genes with increased TE was also notable compared with the insensitive pool ( P =4.25 × 10 -7 ) (Figure 2 a).

A scatter plot of gene significance (GS) against module membership (MM) for genes in the blue module indicated a highly significant positive correlation (correlation coefficient = 0.77, P =9.2×10 −67 ; Figure 2D ), implying that these genes may play central roles in ferroptosis regulation.

The obtained test statistic demonstrated a highly significant variation among algorithms (χ2 = 361.47, df = 17, p = 2.02 × 10 − 66), confirming that the null hypothesis of equivalent performance can be rejected at the 0.05 significance level.

Of the signs and symptoms, 269 were significantly enriched in specific diagnoses, of which 148 were also a priori defined to be of diagnostic importance, a highly significant enrichment (χ 2 = 295.96, P = 2.5 × 10 −66 ).

Of the 9555 SRF regions from Triform, 124 regions overlapped with MER57 repeats (with an average overlap of 91%), and 117 of these contained at least two significant binding sites for TFs (from the CisFinder analysis), which is highly significant ( p = 1.2 × 10 -65 according to a Fisher exact test).

Gene ontology (GO) enrichment analysis displayed a highly significant over-representation of the “RNA-binding” molecular function category (GO:0003723), with an enrichment score of 147.76, p = 6.77 × 10 −65 , and FDR step up = 1.47 × 10 −60 for 6A1, and an enrichment score of 98.44, p = 1.77 × 10 −43 , and FDR step up = 3.84 × 10 −39 for clone 3B2 ( Figure 6 ).

COL6A3, COL1A1, COL3A1, THBS2, COL5A1, and LAMC1 all exhibited significant upregulation with highly significant p-values (e.g., COL6A3, p = 2.89 e-64 ; COL1A1, p = 9.21 e-90 ) ( Figure 7A ).

The G+C content of putative introns ( Table 5 ) shows a highly significant (p = 3.3E −64 ) difference to that of exonic regions in accord with the general pattern in plants (higher GC in coding regions) and consistent with a parallel analysis of retained introns identified from genomic annotation in the A. thaliana data.

The overlap between the DEG sets identified under +N and –N conditions was highly significant ( Supplementary Figure 2 ; hypergeometric test: upregulated genes, P = 9.35 × 10 -64 ; downregulated genes, P = 1.78 × 10 -10 ).

However, these overlaps were highly significant relative to a genomic background composed of 1-kb bins (Fisher’s exact test, P = 2.6 × 10 -63 for SETα; P = 1.9 × 10 -45 for SETβ), suggesting that SET isoforms are nonrandomly associated with ETV5-bound regulatory loci.

This resulted in highly significant (p < 3.1 × 10 −63 ) separations of positive and negative correlations between functional readouts and lipid abundance ( Figures 4 E–4H and S4 J).

Genes involved in the Fgf/Mapk pathway are up-regulated by Fgf4 overexpression and Cic knockdown Using the stated selection criteria, 122 genes are significantly up-regulated by Fgf4 overexpression and 457 by Cic knockdown ( S1 Table ; Fig 3A , 3B , 3D and 3E ), with a highly significant (p<3.9e-63) overlap of 65 genes up-regulated in both conditions ( Fig 3B , S4 Table ).

There was a strong highly significant correlation between the expression levels extracted from the microarray data and those obtained using EST (Pearson CC = 0.39, P < 10 −62 ) ( supplementary figure S5 , Supplementary Material online).

Despite this potential for background noise in the overall associations, a number of individual genes stood out as highly significant, most notably a P450 gene (Zt09_7_00450, P = 2.49e − 62) and several major facilitator superfamily (MFS) transporter genes (Zt09_10_00549, P -values (Wald) = 5.57e − 19; Zt09_7_00012, P = 9.97e − 13; Zt09_7_00453, p-values (Wald) = 1.69e − 18).

Additionally, we have observed a highly significant difference in the expression levels of the conserved duplicates compared to the neofunctionalized (Wilcoxon test, P < 2.5E-61) and specialized genes (Wilcoxon test, P < 2.3E-42) (Fig. 5 B).

Additionally, a highly significant correlation was observed in the scatter plot of gene significance (GS) and module membership (MM) within the MEblue modules (cor = 0.92, p = 2.9e − 61) (Fig. 3 D).

Despite moderate discrimination (C-index ∼0.67), the model achieved a 3-year Brier score of 0.21, reflecting excellent calibration, and demonstrated highly significant survival separation across predicted risk quartiles (log-rank χ 2 = 304; P < 10 -60 ).

Panel C presents the frequency of genes in each of the 36 possible 6 × 6 matrix of sets and shows that there is highly significant overlap (p<10 -60 likelihood ratio test of clustering of categories).

Our algorithm identified 35 highly significant clusters ( P <10 −60 ), merging factors from different levels of the transcriptional architecture.

We observed a highly significant association between rs7538876 and the methylation status of a CpG island within RCC2 (probe ID cg07965774; p = 10 -60 ), which was the strongest meQTL observed for this SNP (Figure 4 B).

Forward perturbation direction theta dynamics model The forward perturbation direction GLME model was overall a highly significant fit to the data ( R 2 = 0.147, F (3703) = 29.70, P = 1.27e −60 ) ( Fig. 5 ).

The link between VIRMA amplification and overexpression was further supported by a correlation analysis of VIRMA copy number values and mRNA expression levels, which demonstrated a highly significant ( p = 3.02e-60, Pearson correlation) positive association (Fig. 5I ).