There was a highly significant relationship between SNP source and true/false-positive SNP outcome (Fisher’s exact test, p < 0.0001); SNPs from non-genic single-copy BESs had a higher chance of being true-positive (58.3%) than those from genic BESs (47.0%).
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When the two time curves were compared over the period 0–16 h, differences determined by two-way ANOVA were highly significant (p<0.0001); Figure 2B shows the significances of the differences in cell death determined after 2 h of observation using multiple comparison two-way ANOVA (p<0.0001: control/Vac; p<0.0001: Vac/Vac+ATP).
The point of parturition (P) itself marks a highly significant decrease in albumin levels in RFM cows compared to NP cows ( p < 0.0001), reflecting a major physiological impact during this critical time.
Geographic differences were notable, with the proportion of individuals with probable PTSD ranging from 40.0% to 100% across divisions, yielding a highly significant difference (p < 0.0001), whereas divisions showed minimal variation (Minor vs Majors divisions PR 1.01, 0.64-1.61; p = 0.96); Figure 5 .
Lymphocyte counts showed a significant decrease from the preoperative period (mean = 2.03) to the post-last session of radiotherapy (Mean = 1.17), with both the ANOVA and Kruskal–Wallis tests showing highly significant results ( p < 0.0001).
Compared to age-matched controls, the whole cohort of patients had highly significant higher levels of both calgranulins (P < 0.0001 and P = 0.0030, respectively).
There were also moderately significant correlations between all subscales of the Arabic version of the FACT-Cog and the EORTC-CF (r = 0.488 to 0.566, P value < 0.0001).
The omnibus tests of model coefficients for the binary logistic regression were highly significant ( p < 0.0001).
Conversely, metabolites such as inosine, dalbergin, and certain unknown metabolites exhibited strong positive correlations with these parameters, which were also highly significant (p < 0.0001).
For all 16 intersections of pairs of gene lists, the enrichment was highly significant ( p < 0.0001) ( Table S2 ).
Among these risk factors, GT, AFP, ALB, AST, FIB-4 were highly significant ( P < .0001), and ALT and age were significant ( P < .05) in univariate analyses.
Variance between the two years was highly significant ( p < 0.0001), contributing 39.4% to the total phenotypic variance of As accumulation ( Supplementary Table S2 ).
A possible exception to this may be Peri-G, which demonstrated a highly significant ( P < 0.0001) 2.8-fold increase in pericyte transduction despite having only two substitutions (K527G and E531G) in VR VII.
Moreover, the quadratic effects of all parameters are significant were highly significant (p < 0.0001).
The observed highly significant decrease of CD4 + T cell numbers in the spinal cord ( p < 0.0001) versus the statistically significant but small differences of T cell numbers in the spleen, however, suggest that local alternations may be responsible for improved functional recovery.
Therefore, iodized salt intake appeared to be related to a highly significant reduction in the incidence of thyroid nodules ( P < 0.0001 in a chi-squared analysis).
score was very strong and highly significant (ρ = 0.874, p < 0.0001).
parasuis field isolates, a highly significant protection was conferred by the vaccination in the survival rate ( p < 0.0001), regardless of G. parasuis TbpB cluster and SV, since all non-immunized piglets died within the initial three days post-infection (dpi) (Table 2 ).
The difference was highly significant ( P < 0.0001).
The interaction between fitted environmental mean and treatments was highly significant ( F = 3.17; P < 0.0001; Table A7 Supplementary material), showing that the slopes are different between treatments.
Because of the sample size with normally distributed fluorescence the t-test statistical analysis was highly significant (p<0.0001) in almost all samples.
Differences were defined as statistically significant for p < 0.05, and extremely significant for p < 0.0001.
A post hoc test showed that there was no difference between the low and high concentrations, but a highly significant difference ( P ≤ 0.0001) was observed between the remaining treatments.
G2 also showed improvement, from 1.54 ± 0.61 at T0 (range 1–3) to 0.97 ± 0.62 at T1 (range 0–3), with a highly significant change (p < 0.0001).
CBL was found to cause a highly significant ( P < 0.0001) improvement in the students’ higher levels of cognition, whereas the lower orders of cognition remained unaffected ( P = 0.2048).