The mean quality score for all bases from bisulfite converted libraries (N = 4) across each of the 5 lanes was (1% PhiX: 37.58 ± 0.03, 10% PhiX: 37.56 + 0.08, 20% PhiX: 37.44 ± 0.1, 30% PhiX: 37.18 ± 0.07, 50% PhiX: 36.42 ± 0.07), which corresponds to a linear, highly significant (p < 0.01 for all comparisons) decrease in quality as PhiX spike-in concentration increased; Importantly, all of these quality scores are excellent (mean phred score >35).
Excerpts
Strikingly, EA.hy926 cells exhibited a dramatic induction of RASSF1A mRNA, with more than a 200-fold increase relative to control conditions (p < 0.05), while this effect remained highly significant (p < 0.01) when analyzed across replicates.
On the one hand, the ANOVA ( Table 2 ) showed that the RDF-PR factor had a significant ( p < 0.05) linear effect on L* and h° and a highly significant ( p < 0.01) quadratic effect on a*, b*, C, and h°.
Pearson’s correlation coefficient indicated a highly significant positive correlation coefficient ( p < 0.01) between T-AOC and either MDA or SOD, as well as between MDA and SOD.
Differences were considered statistically significant with p≤0.05 and highly significant with p≤0.01.
For instance, liver function parameters (i.e., AST/ALT, TBIL, DBIL and UBIL) showed an increasing trend with FFA increasing ( P < 0.01); serum GLU elevated in both the FFA-reduced group and the FFA-increased group ( P < 0.01) when compared to the FFA-normal group.
Highly significant correlations (**: P ≤ 0.01) were found between total plant height and leaf area (R = 0.95), dry grain yield and leaf area (R = 90), leaf area and the chlorophyll content (R = 0.70).
Statistical analysis identified a positive and highly significant correlation between qPCR and two microarray probes (Spearman’s 0.68≤ rho ≤0.78, p<0.01), thus validating microarray results.
All these p -values remain highly significant after Bonferroni-correction for the three-group comparisons for both independent experiments ( p <0.01) ( Table 1 ).
A highly significant main effect of disciplinary intensity was observed, F (2, 541) = 4,047.23, p < 0.01, η p 2 = 0.88, reflecting a large effect size.
The association analyses between stages in each environment showed highly significant and positive correlation for LLS ( r = 0.189–0.932; P < 0.01) and rust ( r = 0.166–0.983; P < 0.01).
The unified model with fMRI-based characteristic path length as outcome variable and characteristic path length from all 4 EEG bands as regressors had a borderline significant p value of 0.052, with only the delta EEG-based characteristic path length showing a significant effect of p = 0.01 (Table 6 ).
Nominally significant associations were detected ( p ~10 −2 –10 −3 ) within CNTN4 (contactin 4) and CTNNA3 (catenin alpha 3).
Highly significant correlations were obtained (p < 0.01), with a R 2 of 0.57) between CNDf and CNDs.
Statistical significance was defined as p < 0.05, and highly significant differences were defined as p < 0.01.
Significant differences were considered when P < 0.05, extremely significant differences were considered when P < 0.01.
However, based on the highly significant p -value in the entire group ( p = 0.01), the trend towards lowering in men, the very high dose of CSO given, and our experience with the animal data, we do not believe this to be the case. 5.
A conclusion was drawn from the correlation analysis, that is RLD and SA always maintained a highly significant negative correlation with RL over two years (p < 0.01).
However, the 2 cell lines which showed only partial promoter methylation (MDA-MB-231 and MDA-MB-468) showed highly significant (p<0.01) increases in HtrA1 expression levels.
After 14 days from starting treatment statistical significant differences in OTA content were recorded: significant ( P < 0.05) for GSE and highly significant ( P < 0.01) for GPE at the 500 and 1000 ppm level, but non-significant changes ( P > 0.1) at 2500 ppm.
The Pearson correlation coefficient (r) is given in the plot, and the circle indicates the extremely significant difference at p < 0.01.
(7) Y = −2328.88741 + 6.06A + 115.61B + 11.84C + 13.65D + 0.014AB + 0.0044AC + 0.011AD + 0.031BD − 0.22CD − 0.41A 2 − 1.56B 2 − 0.21C 2 − 0.47D 2 Analysis of variance (ANOVA) confirmed that the model was highly significant ( p < 0.01) with a non-significant lack of fit ( p > 0.05).
Examination of these coefficients with a T -test shows that the FFA% ( Y ), linear, square and interaction terms of ethanolic KOH ( X 1 ) were highly significant ( p < 0.01), and that the linear terms of reaction temperature°C ( X 2 ) were highly significant ( p < 0.01), while the reaction time (X 3 ) was significant at p < 0.05.
Statistical analysis was conducted by ANOVA two-tailed test for multiple comparisons using Tukey–Kramer’s or Dunnett’s approach, as indicated: *** p ≤ 0.001 highly significant; ** p ≤ 0.01 very significant; * p ≤ 0.05 significant; not significant (n.s.) p > 0.05.
In Model 2, the one degree terms A, B and C had extremely significant effects on the PDI (Y 2 ) of the AAP-NPs ( p < 0.01), and the F -values revealed that the contributions of the factors in this experiment were A > B > C.