Actually, there was a highly significant positive correlation between the number of FGs and KOs ( R = 0.71, p < 2.2e −16 ) (Supplementary Fig. 8 ).
Excerpts
Before harmonization, a Type III ANOVA revealed a highly significant site effect on global mean connectivity (F(12, 623) = 9.65, p < 2.2 × 10 −16 ).
The difference in variance across all probes between affected and unaffected twins was highly significant ( P <2.2 × 10 −16 ), with 52.4% of probes having higher variance in cases (binomial P -value<2.2 × 10 −16 ).
This correlation is also highly significant when averaging polymorphism and divergence within 10-bp adjacent windows ( ρ = 0.50; P < 2.2 × 10 −16 ; fig. 1 ).
As expected, we observed a highly significant difference between RefSeq mRNAs (NM) and RefSeq non-coding RNAs (NR) for both the CPC and the RNA-code score (CPC t = 56.4326 [2.239631;2.400904], p-value<2.2×10 −16 , RNAcode t = 39.6171 [34.44711;38.03595], p-value<2.2×10 16 ).
The Kruskal–Wallis test revealed highly significant differences between conditions at 0–24 h (H = 147.38, df = 2, p = 2.2 × 10 −16 ) and 24–48 h (H = 121.46, df = 2, p = 2.2 × 10 −16 ).
The Spearman’s rank correlation coefficient of 0.74 between all d(fl, endo, g) and d(com, endo, g) scores is highly significant ( P = 2.2e −16 ), reflecting resemblance in genome size and signal peptide content of free-living bacteria and commensals.
The overlap between EgrNAC26-OX and EgrNAC61-OX datasets was highly significant ( P < 2.2 × 10 −16 ), only one transcript was alternately up- or down-regulated across time points, and DEGs common to EgrNAC26-OX and EgrNAC61-OX datasets were all up- or down-regulated concordantly, demonstrating robust and consistent activation of a subset of shared genes.
This difference of 44,043 bp is highly significant (χ2 = 30823.1, df = 3, p-value < 2.2e-16) and corresponds to a 61 % increase of the S. latifolia chromosome size as compared to S. vulgaris .
Indeed, by calculating a retention index for each cell type, defined as the Pearson correlation between the two matrices, we observed highly significant retention of pairwise distances for each cell type ( P < 2.2 × 10 −16 ; Extended Data Fig. 10e ).
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 ).
Analysis of variance showed that the genotypic (G) and the year (Y) effects for fruit weight were highly significant for each population ( P values < 2.2e-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.
The effect of the fly strain on CCRT was highly significant (Kruskal–Wallis test, p < 2.2 × 10 −16 ).
Results Phenotypic variance decomposition and heritability of partial resistance to bacterial canker Considering differences between all controls and inoculated shoots regardless of the genotype effect, a highly significant effect of bacterial inoculation was observed (Wilcoxon unilateral t.test p < 2.2E-16) for lgc whatever the year and for bs in 2013 and 2015 (lesser extent in 2014 p < 9.77E-12 and 2016 p < 9.06E-06).
Samples tended to cluster according to batch of origin, indicating systematic rather than random variation with highly significant differences in LCR-associated z-scores across batches (Kruskal–Wallis p < 2.2 × 10 −16 ) and multiple significant pairwise contrasts identified by Wilcoxon tests.
Differences between delta delta G are highly significant (wilcoxon test, p-value<2.2 e −16 ) except for the comparison between bin 6 and 7 and bin 7 and 8.
A Wilcoxon signed rank test, which compared the ranks based on the two methods, was highly significant ( P < 2.2 × 10 −16 ).
A focused analysis of the TCGA-STAD cohort confirmed a highly significant and robust positive correlation between SOX9 and TRAIP mRNA levels (Fig. 2 B, right panel, R = 0.427, p < 2.2e-16).
Notably, while the in vitro and the denatured control samples slightly but significantly anticorrelated (average PCC = −0.07, Edgington-combined FDR-adjusted P -value = 3.3e–6), a moderate yet highly significant correlation was instead detected between the in vivo and the denatured control samples (average PCC = 0.18, Edgington-combined FDR-adjusted P -value < 2.2e–16).
We observed a highly significant deviation from the expected distribution (Chi-squared test, p < 2.2 × 10 –16 ), indicating strong cell-type-specific expression patterns.
Finally, we observed a highly significant increase (one-sided Student’s t -test, p = 2.2 × 10 −16 ) in average epistasis values in the winning CR genotypes compared with the overall population, indicating that positive epistasis plays an important role in determining the fittest genotypes in this selection (Fig. 5b ).
This reduction was highly significant with a p -value < 2.2 × 10 −16 ( Figure 2 ).
All regressions were highly significant ( p < 2.2 × 10−16).
Although circRNA expression shows a clear trend for both positive (β = 1.121, P < 2.2 × 10 −16 ) and negative (β = −1.015, P < 2.2 × 10 −16 ) β values (effect size), there is no such trend in the mRNA expression (β = 0.0294, P = 0.8654; and β = −0.0339, P = 0.8639 for positive and negative β values, respectively).