Three unfavorable characteristics were selected as highly significant in all three models: Older DonorAge (yr) ( p < 0.000001), Longer StaticColdStorage Time (hr) ( p < 0.000001), and Higher RecipientBMI ( p ≤ 0.00003).
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These clusters are robust to changes in network parameters and are highly significant (p-value < 1 x 10 -6 , permutation tests).
The results are highly significant with p < 0.000001.
Specifically, the group‐average correlation between condition‐specific performance and d’ was 0.97 (SEM = 0.06) and highly significant (T(18) = 32.57, p < 10 -6 ).
There was a highly significant effect of Contrast (F (1,16) = 66.2,p<1e-6) on GR peak power, which is explained by a generally higher GR power in case of high, as compared to low, contrast.
Position-specific stability is correlated to a greater extent than is enthalpy or entropy Closer inspection of the correlation distributions suggested a second pattern: within homologous proteins, enthalpy and entropy generally did not exhibit correlations as great as those for stability (modes of 0.39, 0.50, and 0.61 respectively, Table 1 ; differences between these homolog distributions were all highly significant, exhibiting p <10 −6 as assessed by chi-square tests with 19 d.o.f ).
Overall, there is a highly significant relationship between spatial cluster size and dispersal syndrome across our 561 study species (Kruskal-Wallis, degrees of freedom [df] = 6, χ 2 = 64.3, p < 10 −6 ).
For the average GR frequency, ANOVA also showed a highly significant effect of Condition ( F (4,200) = 325.9, G–G ε = 0.37, P < 1e−6, ηp 2 = 0.86; Fig. 2C ), but no effects of Group ( F (1,50) = 0.81, P = 0.37, ηp 2 = 0.02) or Group*Condition interaction ( F (4,200) = 0.32, P = 0.86, ηp 2 = 0.01).
This is a highly significant (P << 10 -6 ) and remarkable overlap considering that i) the number of breeds was doubled here in relation to [ 3 ], ii) the number of tissues was quite different between both studies, 16 in [ 3 ], five here; gonads, the most variable tissue, was not studied in [ 3 ], and iii) the statistical inference method was different.
In confirmation of our hypothesis, there was a highly significant, 9.4-fold, increase in the maximal tetanic force (7.5±0.94 g versus 0.8±0.2 g; p=≤0.000001) elicited by ONS in the engrafted OST group of SOD1 G93A mice at late-stage disease, compared to age-matched untrained SOD1 G93A mice (132.4±6.8 days versus 133±6.9 days; n=7 and 11, respectively; Figure 5C–G and Appendix 1—table 3 ), although OST did not alter contractile rate characteristics ( Figure 5—figure supplement 5A–C ).
This is a highly significant enrichment relative to the <3% of background genes with known interactions (Fisher’s test p < 10 −6 ), confirming that our analytical pipeline is an effective approach to enrich for druggable targets. 645 (34%) of the compounds are predicted in a single patient, ranging from 15 in patient 17 to 205 in patient 18, further highlighting the importance of a patient-specific approach (Fig.
The difference between ASLs and ASELs means was highly significant ( p < 10 −6 ), and the variances were highly significant different ( p < 10 −6 ).
Among participants, n OST and n JSN had a correlation coefficient of r = 0.66, which was very highly significant (p<10 −6 ).
When assuming a random distribution of microRNAs, the presence of 105 microRNAs in LINE-free regions is highly significant using a binomial distribution (expected number of microRNAs = 62; p<10 −6 ).
Among those metabolites, LysoPC (18:0/0:0), SM C24:0, PC O‐30:0, and dodecanoylcarnitine showed a highly significant increase ( p < 1 × 10 −6 ), while propenoylcarnitine showed a significant decrease ( p < 0.001) (Table S1 , Figure S3 ).
This correlation was highly significant ( p < 0.000001).
Lastly, kDGF was a highly significant multivariable predictor of a higher CCI, even after controlling for the four other significant multivariable predictors of this outcome ( p < 0.000001, Table 5 ).
However, substantial between-country variability was observed, with highly significant differences in seroprevalence rates among country–decade combinations (χ2 ≈ 58,742, df = 23, p < 0.000001).
However, it was highly significant ( P < 0.000001 ) in this study, and the direction of the regression line showed that the rare allele can increase the rate of multiple births.
Specifically, the evidence grading criteria were as follows: If the association was supported by a highly significant random-effects ( P < 10−6, a threshold considered to substantially reduce false positive findings) 10 – 13 , a sample size of more than 1000 cases, P < 0.05 in the largest study, I2 < 50%, absence of small study effects, a PI excluding the null, no evidence of excess significance bias, and P < 0.05
The observed enrichment (7 of 7) is highly significant (p-value = 1e-6), demonstrating that our serum proteomic analysis finds high concordance with validated assays.
By the least stringent definition of a seed match – a six-nucleotide match complementary to nucleotides (nt) 2–7 or nt 3–8 in the miRNA – 70% of the miR-1 targets and 75% of the miR-124 targets possessed seed matches, a highly significant (P<10 −6 and <10 −25 , hypergeometric density distribution) enrichment over would be expected by chance ( Table 1 , designated ‘6mer’ seed match).
Above 75, an increasing trend was observed with 85+ years showing AAPC of 1.38 (95%CI, 1.07 to 1.69, p<0.000001).
The association of newly evolved essential genes with newly evolved CTCF binding sites is highly significant compared to old essential genes with conserved CTCF binding sites (Kolmogorov-Smirnov test, p <1e-6; Figure S19 ).
This highly significant difference (2.1-fold; P ≤ 10 −6 ) suggests that some of the low-scoring sites might be false positives of the ChIP approach and that the overall prediction performance might have been underestimated.