all clusters, and highly significant p-values for both directions (lesser and greater, p-value < 2.2e-16) are recorded.
Excerpts
At the nucleotide level, the nonrandom distribution among these genomic categories is highly significant ( P < 2.2 × 10 − 16 in a χ 2 test for independence).
Zymo) (Additional file 1 : Figure S1A), with a highly significant correlation observed in both the prefrontal cortex (Additional file 1 : Figure S1B; R 2 = 0.99, P <2.2E-16) and cerebellum samples (Additional file 1 : Figure S1C; R 2 = 0.99, P < 2.2E-16).
The overall distribution of average within-pair DNA methylation differences showed a highly significant skew to the right in ASD-discordant twins ( P <2.2e−16, Kolmogorov–Smirnov test), with a higher number of CpG sites demonstrating a larger average difference in DNA methylation.
As expected, the true members of clusters correspond to highly significant P -values that are skewed toward to 0 (double KS test P -values < 2.2 × 10 − 16 ).
In the study, two ecologically competitive Functional Groups of golden pompanos were also found, with relative abundance showing a highly significant negative correlation ( R = -0.78, P = 2.2e-16) (Fig. 5 A).
Wilcoxon rank sum test with continuity correction revealed highly significant changes for old versus young cortex and hippocampus circRNA TPM values ( P < 2.2 E-16) ( Fig. 2d ).
The overlap was highly significant ( P < 2.2 × 10 −16 ).
However, these correlations were still highly significant ( P values < 2.2e-16 in both Pearson and Spearman correlation tests).
In addition, the correlation between gene expression and TF binding was highly significant ( P = 2.2× 10 −16 , see Additional file 1 Supplementary Methods) and the likelihood of a TF complex near transcriptionally active genes showed that the TF complexes are most likely located -1kbp to 0.5kbp around TSS (Fig.
Comparing the two sets of genes, we observed a highly significant overlap of 193 genes whose expression was altered by either IL-1β treatment and IL-1R8 deficiency (Fischer’s exact test; P value = 2.2e-16; Pearson correlation coefficient = 0.95; 61.7% downregulated and 38.3% upregulated, Supplementary file 3 ).
The correlation coefficients were relatively low (0.325, 0.323, 0.321, 0.312 and 0.250 at the PARTE temperatures of 23, 30, 37, 55 and 75°C, respectively) but highly significant (all P -values < 2.2e-16).
A linear statistical model for the rate constant of photoinhibition ( k PI ) was highly significant ( F (8,95) = 50.3, P < 2.2 × 10 −16 ) and showed that k PI was significantly affected by light color (coefficient 0.70 ± 0.0095, P = 6.75 × 10 −11 ) and leaf group (coefficient 0.016 ± 0.0069, P = 0.0256) but not by the other variables (see Summary of statistics available as Supplementary data at Tree Physiology Online).
We detected a highly significant positive correlation between F ST and absolute values of α (HV: r = 0.24, p < 2.2e-16; MR: r = 0.24, p < 2.2e-16; Figure 3 ), indicative of relationships between genetic differentiation, divergent selection, and reproductive isolation.
The Pearson correlation coefficients of uniquely mapped reads between biological replicates are from 0.961 to 0.994, which are highly significant ( p -values < 2.2e−16).
These tests were all found to be statistically highly significant, with p < 2.2 × 10 −16 .
Results Descriptive statistics Samples differed in average symptom endorsement: Patients in Data Set 4 had the most severe symptomatology, followed by Data Set 1, Data Set 2, and Data Set 3 (see Table 1 ). Except for the comparison of Data Set 1 with Data Set 2, t (840.15) = 1.62, p = .11, Bayes factor = 0.26, 3 all other differences between the severity scores were highly significant ( t values between 8.51 and 29.29, degrees of freedom between 518.03 and 1417.3, all p values < 2.2 × 10 −16 , all Bayes factors > 4.7 × 10 13 ).
Given that only 0.6% of all high-coverage sites were within 10 kb of a known imprinted locus, this is a substantial (29.3-fold), and highly significant enrichment of ASHM sites around imprinted regions ( P < 2.2 × 10 −16 , χ2 test).
There was a highly significant correlation (Spearman’s rho of 0.81, p < 2.2 × 10 −16 ) of the PBMC expression changes 6 h after HIIT and HBO 2 ( Figure 5 D).
However, the intersection of FOXA2 sites between each pair of cell types was highly significant ( p <2.2×10 −16 ).
The traits are much more correlated in both twin groups than in twin-spouse pairs or unrelated individuals (all comparisons were highly significant, p < 2.2e16).
Conversely, a robust positive correlation was observed between PKMYT1 expression and TMB, with a correlation coefficient of R=0.4 and a highly significant P value ( Figure 5C , P<2.2e−16).
Results from Figure 3 showed a highly significant difference in MIC values among the treatments (χ 2 = 270.89, df = 5, p < 2.2 × 10 −16 ), with a very large effect size (ε 2 = 0.85, 95% CI [0.80, 0.89]).
The test revealed a highly significant enrichment of immune-related genes among the predicted candidates (p < 2.2e-16), with an estimated odds ratio of 48.6 (95% confidence interval: 31.6–78.3), indicating that immune genes were substantially overrepresented in the iM candidate list compared to housekeeping genes. 3.2 Validation of candidates To evaluate the iM-candidates, data from the GSE227616 dataset were compared with the identified candidates.
Moreover, not only do we find differences in predictive performance between populations from different continents, we also find highly significant differences in prediction accuracy among the four European ancestry populations considered ( F -test p -value < 2.2 × 10 −16 ).