“highly significant”

However, the correlation in expression of CD14 and K2 was highly significant (p = 8 x 10 −191 ) compared to that of CD19 and K2 (p = 0.065) at 1 dpi.

A One-Way ANOVA was performed, and the results indicate a highly significant difference between the ligand groups (P-value < 6.6718 × 10 −177 ).

This trend was confirmed across two additional independent sampling replicates ( n = 10,000 molecules per replicate), indicating that the effect is not attributable to stochastic variability. Across all runs, the improvement in QED at T = 0.6 remained highly significant (one-way ANOVA p < 10 –175 ; Kruskal–Wallis p < 10 –180 ), with a similarly significant reduction in structural alerts ( p < 10 –2 ).

Analysis of CpG sites positively correlated across all tissues revealed ‘nervous system development’ as a highly significant gene ontology (GO) term (P = 2.0 × 10 –171 ).

When test and training data were from the same day, estimates of mouse location were excellent (median error nearly always <7 cm) and highly significant compared to shuffled test data ( P <10 -160 ; Kolmogorov-Smirnov test).

In the subgroup comparison between the high LDL-C and CAD subgroups, a highly significant difference was observed for LDL-C ( P = 5.8×10 -158 ) because the high LDL-C subgroup was originally defined using LDL-C levels.

We also note that due to the statistical power of the study some highly significant associations may not be as clinically impactful due to small effects sizes (e.g., age with OR = 1.01; p = 2.61 × 10 − 157 for survey question 1).

There was a very highly significant ANOVA [ F (95, 408) = 40.34, p = 3.689e −157 ].

For OtV-type 2a, Ka​/Ks ratios were consistently >1 across all models, with highly significant P -values (average of ω = 1.3 and a P -value = 3e-155), indicating strong diversifying (positive) selection.

Using the same Mann–Whitney U test, we find a corrected p -value to be highly significant when comparing LD-18 and HD-18 samples ( p -value = 4.78–153).

Interestingly, this trend is highly significant ( P < 10 -150 ) for all event lengths except for 3 bp, showing that degenerate codon positions evolved to reduce the indel propensity of frame shifting indels more than frame conserving mutations.

In particular, 22 and 17 elements were detected for microRNAs 128 and 138 MREs, respectively, with a highly significant enrichment ( P < 1E −150 , Supplementary Figure 3 and Supplementary Table 3 ).

For five quantitative traits (BMI, DBP, FEV, RHR, and SBP), per-standard deviation (perSD) Beta values for rvPRS showed highly significant associations (max P = 1.21E-149; significance threshold P < 1.26E-04 = 0.05/18/22).

\usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\bar{w}\left({n}_{{wt}}\right)=$$\end{document} w ̄ n w t = 0.48, a difference that is highly significant ( P = 3.8 × 10 −148 , two-sided Mann–Whitney U = 43,750, n = 681).

The precision of this alignment was further quantified, showing a 74.5% overlap between high-risk and tumor cell categories, with McNemar’s test 84 demonstrating a highly significant association ( P = 3.54 × 10 −146 ) (Fig. 5 d), thereby supporting SIDISH’s accuracy in identifying cellular drivers of poor prognosis within their spatial context.

Furthermore, Wilcoxon signed‐rank tests comparing the absolute prediction errors of RINAMI and the baseline model showed highly significant performance differences across the three Mega‐scale test subdatasets, with p ‐values below 0.01 in all splits ( p = 5.95 × 10 −145 , p < 1.00 × 10 −300 , and p = 1.39 × 10 −25 ).

Although the sublamination of the IPL was clearly less organized than in the WT, in this very thin IPL-like neuropil the typical apical/basal pattern was still obvious ( Figures 2 G and 2I) and highly significant (p = 3.0 × 10 −144 ; Figure 2 J).

5 G) included 773 genes, which is highly significant ( p = 8.5 × 10− 142 ) with a strong odds ratio of 10.27, indicating that the overlap is about 10 times more frequent than would occur by chance.

In particular, the fluorescence intensity of SUVs preferred by 15GALA-NP increased approximately 2 orders of magnitude compared to free GALA, showing highly significant skewness ( p = 1.12 –141) by comparing the two distributions in a two-sided Welch’s t -test.

The APOE genetic signal remained highly significant in an age-stratified GWAS, on participants with age 60 years or more (OR 1.7, 95% CI 1.63–1.77; P = 2.7 × 10 −141 ; Extended Data Fig. 6 and Supplementary Table 2 ).

Of these, 140 SNPs indexed differences in HDL- and LDL-cholesterol, triglycerides, C-reactive protein, fibrinogen, factor VII, apolipoproteins AI and B, lipoprotein-associated phospholipase A2, homocysteine or folate, some with large effect sizes and highly significant P -values (e.g. 2.15 standard deviations at P = 9.2 × 10 −140 for F7 rs6046 and FVII levels).

The Steiger analysis demonstrated highly significant directional associations for CEP68 using both blood ( p = 1.92 × 10 −137 ) and LAA ( p = 4.88 × 10 −49 ) eQTLs.

This overlap is highly significant by factor of over-representation (4) and P -value ( P < 3.1 e-136).

Figure 7B shows there was a highly significant overlap between the genes affected by cordycepin in the two cell lines ( P < 1.44 × 10 −135 by one‐tailed Fisher's exact test).

Furthermore, the Z-score-based meta-analysis of 1,239 animals in the exploratory cohort revealed a highly significant negative correlation between pH and lactate levels at the individual animal level ( r =–0.62, P =7.54 × 10 –135 ; Figure 1B ).