The relative amino acid composition of FFS and LFS varied in accordance with DoF and the relationship was found to be highly significant (ANOVA, p < 0.00001).
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Results from AMOVA showed that while most of the genetic variance was partitioned within populations (89.8%), a significant proportion of the variance was partitioned among populations (10.2%) and gave a highly significant Φ ST value (0.102, P <0.00001).
The similarity in prognostic group assignment was highly significant ( p <10 −5 by Chi-square test).
Only highly significant meta-analysis results (p-values <0.00001) were used to select a subset of SNPs – AD-associated genes confirmed by numerous studies [17] .
All p -values were highly significant ( p <0.00001, Table S2 ).
The difference in the concordance of these 2 data sets was highly significant (p<0.00001).
When the blind evaluator rated photos, there was a slightly smaller but still highly significant decrease in score (−1.1) from day 0 to day 360, t(36) = −10.712, p < .00001] with no significant decrease in effect from day 60 to day 360 in most patients as can be shown in Figures 2 – 4 below, with the minority of patients having minimal regression, Figures 5 – 7 .
The difference in mean SUV between the combined control group and the IPF group were highly significant both for data uncorrected for TF (0.48 ± 0.14 versus 0.78 ± 0.24; Table 3 and Fig. 3 a; p < 0.00001) and for data corrected for TF (2.24 ± 0.29 versus 3.24 ± 0.84; Table 3 and Fig. 3 b; p < 0.00001).
Within-group comparisons of SI increases from T1 against T2 values yielded highly significant differences for CPP–PCs ( n = 57, 0.23 ± 0.05 bits per spike, mean ± s.e.m.; P = 1 × 10 −5 , T = 4.86, one-sample t -test) and SAL–PCs ( n = 61, 0.26 ± 0.07 bits per spike, mean ± s.e.m.; P = 4.5 × 10 −4 , T = 3.7, one-sample t -test).
Using our phytohormone gene list, we identified a highly significant overrepresentation ( p < 0.00001) of phytohormone genes 1 h before (zeitgeber time 23; ZT23) and 1 h after dawn (ZT0) under short-day photocycles.
5 C, D indicated that the correlation between estimated and ground-truth EC was highly significant ( p < 1e-5) for low NSR (NSR < 0.3) and remained significant ( p < 0.005) even for large NSR (NSR ≥ 0.3).
The recovery of thigh atrophy was highly significant, with a p -value = 0.00001.
The tests are all highly significant, with p < 0.00001.
The increase in PNN density (normalised to the cross-sectional area of the neostriatum) between P10 and P14 was highly significant (one-way ANOVA, Tukey-Kramer test; F(5, 48) = 142.14, P<<0.00001; Fig 7A ).
A correlation matrix was calculated for these genes, using Pearson Product-Moment Coefficient, defined as r x , y = ∑ i = 1 n ( x i − x ̄ ) ( y i − y ̄ ) ( n − 1 ) δ x δ y The values of Pearson correlations above 0.3 are statistically highly significant (p-value < 0.00001 after Bonferroni correction for multiple testing [ 85 ]).
Logistic regression testing the effect of sequence length on whether or not the query sequence have at least one BlastX hit ( E value 10 -5 ) was highly significant (p-value < 0.00001).
The patient is assigned the high or low risk of relapse category if the score is ⩾2.41 or <2.41, respectively, with highly significant differences in RFS ( P <10 −5 ) and OS ( P <10 −5 ) between both groups.
The test for overall effect was highly significant (Z = 5.57, p < 0.00001), indicating a significant association between knowledge scores and experience across all categories.
In the SA27063 × A17 F 2 population a highly significant quantitative trait locus (QTL, LOD = 7.37; P < 0.00001) named r esistance to the n ecrotroph P homa m edicaginis one ( rnpm1 ) genetically mapped to the top arm of linkage group 4 (LG4). rnpm1 explained 33.6% of the phenotypic variance in the population's response to infection depicted on a 1–5 scale and was tightly linked to marker AW256637 .
These differences were highly significant (P < 0.00001).
The Pearson correlation for each metric across the two periods was highly significant ( p < 0.00001) and ranged from 0.86 to 0.92, demonstrating high reliability (Fig. 4 ).
These results were highly significant (p = 0.00001).
Investigating this association in a cohort of 227 medulloblastomas, we found that loss of chr3p was highly significant when searching for genomic regions tightly linked with CT (Fig. 5c , two-sided Fisher exact test, p < 10 −5 and two-sided Chi-square test, p < 10 −8 , respectively).
A highly significant positive correlation was found between the weight of male newborns and their mother’s weight ( r = 0.389; P = 0.00001), while no significant correlation ( r = 0.180; P = 0.0871) was found between the weight of female newborns and the weight of their mothers (Figure 1 ).
A highly significant ( p ≤ 0.00001) reduction of E‐cadherin expression was observed in the order of HPV16+ < HPV18+ < HPV16+/18+ in both cell models.