Excerpts

The high proportion of variation among environmental means in Figure 3 is supported by highly significant (p< 2.2e-16) differences among the mean effect of each environment.

The slope coefficients were highly significant ( p -values < 2.2 × 10 −16 ), confirming a strong linear relationship between er and the IM-MS responses.

The coefficients derived from the linear regression of each sample pair were highly significant ( P -value <2.2e-16), and the quality of the fit was assessed using R 2 and regression coefficient values ( Fig. 6B and C ).

A Fisher’s exact test confirmed that this difference is highly significant ( P < 2.2 × 10 –16 ), with an odds ratio of 2.76.

Supporting this hypothesis, a comparison of the mean coverage of the nuwt regions to that of the non-nuwt regions showed a small but highly significant difference between them (Wilcoxon rank sum test with continuity correction, p < 2.2×10 -16 for all 13 samples).

Remarkably, we observed a highly significant negative correlation between B cell levels and HEUScore among all immune cell subtypes ( r = -0.8857, P < 2.2e-16) ( Figure 5G ).

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 ).

We finally observed a significant trend ( r = 0.78, P < 2.2×10 −16 ) that genes with a higher estimate of expression in the microarray were more likely to have a higher expression level in RNA-sequencing.

In fact, among the 291 genes selected for pad4 , 170 genes are also included in those for sid2 : the overlap was highly significant ( p < 2.2 x 10 -16 , Fisher’s exact test).

These results show, that RNAs with diminished abundances in the mutant possess a particularly high amount of cleavage sites, which was also indicated as highly significant by hypergeometric test (enrichment over background distribution of cleavage sites: 6.23-fold; p-value <2.2 −16 ).

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 ).

The overall model was highly significant (likelihood ratio test = 256.5, p < 2.2 × 10−16).

However, all correlations were highly significant ( P < 2.2E-16).

For each month, the differences between soil and soil + root for COS and CO 2 were highly significant (Kruskal-Wallis rank sum test – p < 2.2e −16 ), with higher CO 2 and lower COS emissions in the soil + root chambers (except for February) (Fig. 3 ).

This is exemplified by the colocalization of DPDs with regions of higher CpG density ( Figure 6B ) and a robust and highly significant negative correlation between CpG density and PMDs (r = −0.64, P<2.2×10 −16 ).

Among these were 20.0% of the genes upregulated in XY° males (993 out of 4973) versus 40.8% of the genes upregulated in XX females (3856 out of 9472) in at least one developmental stage (FDR < 0.05), a highly significant difference ( χ 2 = 330.0, p < 2.2e−16).

This difference was highly significant ( χ 2 = 482.2; P < 2.2e -16 ), indicating that ancient gene pairs have been highly dispersed.

We find a highly significant correlation (ρ = 0.15, P < 2.2 × 10 −16 ) ( Supplemental Fig.

The results of the statistical linear regression between RSSI and the logarithm of the node-gateway distance (logD) are robust and highly significant (R2 = 0.808, p -value < 2.2 × 10 −16 , residual standard error = 10.68 dBm).

8 A–D, GSTO1 expression is significantly elevated in tumor tissues compared to normal tissues across several datasets (E_MTAB_8588, GSE42743 , and TCGA_HNSC), with highly significant p-values (p < 2.2e–16, p = 7.3e–08, and p < 2.2e–16, respectively).

The results indicated highly significant Pearson correlation coefficients of −0.82, −0.68, −0.78, and − 0.71, respectively, with P -values < 2.2e-16 ( Fig. 3B-E ).

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 ).

For 9 out of the 16 motifs we examined, the susceptibility of the vulnerable genes was strongly lower than that of the resistant gene sets to a similar degree, a difference that was highly significant (t-test, P < 2.2 × 10 −16 for all 9 motifs, Fig 5A columns shown in orange box).

The difference in the location of the median for the success statistic distributions obtained using the two approaches was highly significant ( p < 2.2e‐16) for all three drugs and showed that the PopPK approach performed significantly better than a standard NCA approach.

The analysis revealed a highly significant enrichment ( p < 2.2 × 10 −16 ) of QTLs within CNVRs.