In this analysis, 263 p53 target genes were co-bound by JMJD3, which gives a highly significant overlap between JMJD3 and p53 target genes (p<10 −8 ).
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These genes were either associated with resistance to both lead and cadmium in both sexes or had highly significant ( P < 10 −8 ) effects in any one condition.
This effect was highly significant (mixed-effects regression, N =43, P =10 −8 , Fig. 2c,d , Supplementary Table 2 , triple interaction between reward, transition type and colour deviation difference).
Since the distributions of time budget left is not Gaussian, we performed a Wilcoxon signed rank test comparing the both distributions, which was also highly significant ( z = 5.44, p < 10 −8 ).
Pearson correlation coefficient between replicate transfections was highly significant, reaching 0.88 ( P < 10 −8 ); however, the overall correlation between exogenous and endogenous NSE levels was only 0.35 ( P < 0.01).
XPO4 and IP6K1 have highly significant differences in effect ( p = 1 × 10 −8 , 3.2 × 10 −5 ), both reflecting large effects in Thomsen et al. and smaller or zero effects in other studies.
The analysis demonstrated a highly significant result (test statistic = 0.0, p < 0.00000001), indicating that median stent migration was greater than zero and that measurable displacement occurred between the three-month and one-year intervals.
Two additional studies have demonstrated highly significant associations between rs1051730 and lung cancer (OR ≈ 1.3; P < 10 −8 ) but found either weak or no evidence of association with smoking behaviour, suggesting that further work is necessary to determine whether the variant has a role in disease susceptibility independently of smoking behaviour ( 15 , 16 ).
The observation that 20 AE-linked cytobands were found in the top 70 hits is highly significant ( P <10 −8 , hypergeometric distribution, with 624 total cytobands in the genome), whereas only 2 cytobands are expected to overlap by chance alone.
We show this to be a highly significant ( p < 10 –8 ) result with a large effect size.
Serum levels of 10 biomarkers correlated (r > 0.2, P < 0.05) with the level of fT4 and 12 with the level of TRAb (Supplementary Table). Six biomarkers showed a highly significant increase ( P < 1 × 10 −8 ) between patients with GD and HS ( Fig. 2 ), most significant for TNF receptor superfamily member 9 (TNFRSF9).
Indeed, Pearson correlation between E2F1 and CCND1 is close to 0 and not statistically significant ( P = 0.4) while the MI is highly significant ( P = 10 − 8 ).
We observed a highly significant main effect of waveform class on decoding performance for each motor feature (median improvement in R 2 was 0.15 across datasets/motor features; p < 1e-8 for every dataset/motor feature combination, Bonferroni adjusted for multiple comparisons).
The effect size of the differences observed is very large, and the P -values highly significant ( P < 10 −8 ).
Of these events, 17.2% presented in patients in the icosapent ethyl group, and 22.0% in individuals in the placebo group, a highly significant difference [hazard ratio 0.75, 95% confidence interval (CI) 0.68–0.83; P = 0.00000001]; the RRR was 25%.
All intereye correlations were highly significant ( P < 1x10 −8 ).
M8) were highly significant (all p < 10−8; Table 3 ), with models M2a and M8 estimating that ~ 4.1% of codons evolve under positive selection (ω ≈ 2.31).
Compared to peaks containing L-CTCF-BSs, P-CTCF-BSs exhibited a higher mutation rate of 1.34 and 1.25 times per CTCF-BS for LNCaP and MCF7 respectively ( Supplementary Table S4 ), and the elevated rate is highly significant ( P -value < 1 × 10 −8 ) as determined by a permutation test (Materials and methods) (Figure 2A , B ).
All of the heritability and correlation estimates were highly significant ( p < 1 × 10 −8 ).
All of these regions showed highly significant associations (− log 10 P value > 8**) at the developmental stages after AP (i.e.
The difference is highly significant across repeated experiments with different set of random inputs ( p < 10 −8 , n = 10, paired t -test).
Analysis of RNA-seq data in CNTNAP2 CRISPRi versus control differentiated neurons showed highly significant downregulation only for CNTNAP2 (log 2 FC= −2, P -value = 1 × 10 −8 ), attesting to the specificity of the knockdown experiment (Figure 3F ) ( Supplementary Table S12 ).
These measurements, distinguishing biopsy-positive from biopsy-negative men, were highly significant ( P < 10 −8 ; 100% sensitivity and 81.8% specificity).
Using the selected model, the R, G, B variable coefficients ± SEM were all found to be highly significant ( p < 10 −8 ) and estimated at β 1 = 0.080 ± 0.0152, β 2 = −0.722 ± 0.0174, β 3 = 0.543 ± 0.0140, respectively, implying a minor contribution of the R variable to positive pixel predictability and a substantial but reciprocal effect of the G and B variables.
Both the integrated fluorescence intensities, which represent the amount of DNA per nucleoid ( Figures 3B,D and Table 1 , columns 11 and 12), and the measurements of nucleoid lengths ( Table 1 , columns 13 and 14) indicate that the difference in DNA between small and large deeply-constricted cells at the fast growth rate is highly significant ( p < 10 -8 , as determined by a two-tail t -test); at the slow growth rate, the difference remains significant, but just barely ( p = 0.035).