Results show that the correlation between PADI2 and HER2/ERBB2 overexpression is highly significant across the luminal, basal-NM (non-malignant), and claudin-low cell lines (rho = 0.828, p = 2.2 × 10 -16 ) (Figure 3 ).
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This targeting is highly significant as compared to the targeted human proteome counterpart (exact Fisher test, p value <2,2×10 −16 ).
Differences between CC strains in splenic bacterial loads were highly significant ( P < 2.2 × 10 − 16 ).
When comparing the log 2 FCs obtained for all genes and contrasts between qRT-PCR and array we found a highly significant correlation (pearson correlation of r = 0.96, p = 2.2e -16 and an R 2 = 0.92).
The beta estimates for these SNPs showed a highly significant linear correlation ( P < 2.2e−16, Fig. 1g, j ).
Highly significant differences in V1V2 length are seen between stage 3 and stages 1,2 and 4 (p<2.2×10 −16 , M-W rank sum test), reflecting V1V2 lengthening in chronic illness, followed by contraction in late disease.
This difference was highly significant ( P < 2.2 × 10 −16 ).
This revealed a highly significant agreement of the number of events between paired replicates (Supplementary Fig. 2b , Pearson's correlation 0.997, n = 30, two-sided, p value < 2.2e−16), indicating that uvCLAP events capture the amount of pulled down RNA exceptionally well.
Food Deserts: In stark contrast, the food desert index showed a strong and highly significant positive spatial autocorrelation (I = 0.4563, p < 2.2 × 10 −16 ).
When the test was conducted with results adjusted for cohort, PCs, age, and gender, the over-representation of risk associations remained highly significant ( p value < 2.20 × 10 −16 ).
For the 241 significantly differentially accessible regions there was a highly significant enrichment at regions marked as enhancers, compared to ‘All peaks’ ( p < 2.2 x 10 −16 ) or the genome-wide distribution ( p < 2.2 x 10 −16 ) of the chromatin state ( Figure 1d ).
One notes highly significant terms for time (β-est. = 0.21, (95%C.I. 0.17, 0.25), p < 2.2 × 10 −16 ), monthly cannabis use (β-est. = 2.97, (1.91, 4.03), p = 8.2 × 10 −8 ), cannabis use quintiles (β-est. = 3.86, (2.45, 5.27), p = 1.2 × 10 −7 ), dichotomized cannabis use quintiles (β-est. = 3.54, (2.19, 4.89), p = 4.4 × 10 −7 ) and time: quintile interactions. 3.4.
Subsequently, they report “a highly significant correlation (ρ = 0.15, P < 2.2 × 10 −16 )” and conclude that this signals gene flow.
Fisher’s exact test revealed a highly significant association between treatments and inhibition scores at both 24 hpi and 96 hpi ( p < 2.2 × 10 −16 ).
FT showed a highly significant difference between groups (p < 2.2 × 10 −16 ), with substantially higher survival observed in Eastern European genotypes compared to those from Southern Europe.
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]).
2d and e ) and the Pearson correlation of these DNAm changes is highly significant ( p < 2.2 × 10 −16 ).
Although the results of the test for direction of change in expression of X-linked transcripts in CDX males compared to Control males was highly significant (χ 2 = 82.7517, df = 3, P -value <2.2*10 −16 ), there was no evidence that these transcripts had feminized expression levels in CDX males ( Table 2 ).
We also confirmed highly significant correlations of the patterns of transcriptomic changes (FC of each gene) between cells with homozygous and heterozygous variants ( Figure S18 , p < 2.2 × 10 −16 for both chr7:g.26200781C>T and chr22:g.19179942C>T lines).
The differences in TSSL and SYL values between the OsSYL3 AA and OsSYL3 CC genotypes were highly significant (Welch’s t ‐test, P = 2.20 × 10 –16 ) (Figure 2d ).
The 138 c-Jun-regulated genes showed a highly significant 5.8-fold enrichment (p=2.2×10 −16 ) among the 1581 genes regulated during chronic denervation.
For example, the Fisher exact test for association between the markers rs3856806 and rs41516544 for both males and females was highly significant (P-values <2.2×10 -16 and 1.102×10 -12 , respectively).
A MANOVA analysis revealed highly significant differences among genera with respect to biotemperature, precipitation, and evapotranspiration values associated with their records ( p = 2.2 × 10 −16 ; DF = 9; F = 20.617; Pillai’s Trace = 0.9114).
Averaging power in this range across the entire cue presentation period revealed a highly significant difference between the six regions in the 3-s spatial working memory task (F 5,1096 = 19.98, p = 2.2E-16, effect size: η 2 = 0.09).
Furthermore, a highly significant correlation was observed between the level of dysregulation of these 1,520 common DEGs within the two datasets (Pearson correlation test, R = 0.73, P -value < 2.2 × 10 −16 ) ( Fig 3B ).