“highly significant”

It behaved as a complete outlier, reducing the amount of DLK1 ~ 3-fold when compared to the average of the two negative controls, and this effect was highly significant (p = 2 × 10 -16 ) (Figure 1 B and see Additional file 2 : Table S2).

The analysis of variance showed a highly significant effect of genotypes ( p < 2 × 10 −16 ) (Table S4 ).

Data analysis showed a highly significant reduction of the average CpG methylation levels from 13.8% in control animals to 8.3% in KD samples over sixteen million mapped CpGs ( p < 2e-16, Wilcoxon rank sum test; Fig. 4a ).

The one-way ANOVA comparing signal intensity across the different types of hybridization showed a highly significant main effect ( p < 2 × 10 –16 ).

The association between miR-100 and EMT markers was further validated in human tumors: from the Cancer Genome Atlas (TCGA) breast cancer data [17] , we observed a moderate but significant inverse correlation between miR-100 and E-cadherin expression levels ( Rs = −0.1, P = 0.006, Figure 1F ) and a highly significant positive correlation between miR-100 and vimentin expression levels ( Rs = 0.43, P <2×10 −16 , Figure 1G ). miR-100 suppresses tumor growth and is downregulated in human breast cancer We performed TCGA data analysis to determine the expression levels of miR-100 and miR-22 in human breast cancer.

We found that both RM and n sites had a highly significant effect (respectively, F 9,449 = 71, P < 2 × 10 −16 and F 1,449 = 103, P < 2 × 10 −16 ), and the interaction between RM and n sites was also significant ( F 9,449 = 8.99, P < 2 × 10 −16 ).

We found the effect of rurality to be highly significant ( P < 2.0 × 10 -16 ), but it explains only 28% of the overall variation in log positional error magnitude.

Thus, it is not surprising that the separation of nationalities due to the co‐dispersion along these two axes is highly significant (MANOVA: P < 2e–16).

One interesting example is glycan 5402, which had a small positive correlation (PPMCC 0.28) with A1AT’s serum concentration when present at site A1AT site 70 ( P = 0.006) but had a strong highly significant negative correlation (PPMCC -0.81) with the serum concentration of A1AT when present at A1AT site 271 ( P < 2E−16) (Fig. 2 F).

Again, rs708727 was found to be a highly significant ( p < 2e−16) covariant of all probes, while rs960603 is not.

The models (for each plate and for each type of error) explained between 14.32% and 37.38% of the error distribution and were highly significant (P < 2 × 10 -16 ).

The fit of the mortality data using the survival function (with interaction) of the Cox analysis showed that both covariates (temperature and exposure times) were highly significant, as well as their interaction, in determining the mortality level (Concordance = 0.872 (se = 0.015), Likelihood ratio test = 295.9 on 3 df, p ≤ 2e-16, Wald test = 276 on 3 df, p ≤ 2e-16, and Score (logrank) test = 447.6 on 3 df, p ≤ 2e-16).

Of these 316 genes, 81.5% (256) were found in our original list, a highly significant overlap ( P < 2 × 10 -16 , Fisher's exact test), demonstrating the reproducibility of our methodology.

The regression coefficients for height, weight, age and sex were all highly significant (p<2x10 -16 ) but none of the principal components for ancestry had a significant association.

Laminar quantification showed a highly significant difference in Iba1 intensity across cortical layers [ F (4,531) = 90.19, p < 2 × 10 –16 ; one-way ANOVA] with the highest intensity in L1 ( Figure 7E ; L1 vs.

As expected, the BM[2,1] index had a positive and highly significant effect on the DON (Table 6 : slope = 0.245, SE = 0.018, P < 2e−16).

This shift is highly significant compared with either the simulated random distribution ( p = 2 × 10 −16 ) or the distribution from the glucose-grown cells ( p = 2 × 10 −11 ; Wilcoxon rank sum test).

After including non-LA ω-6 PUFA in the model, the association of the FADS with LDL-c remains highly significant ( p < 2.0 × 10 −16 ).

We repeated the moving average analysis (see Materials and Methods) comparing the distribution of mutations in the HS cluster and WT V regions and again found a highly significant positive correlation ( r = 0.52, P < 2 × 10 −16 ).

This was found to be a highly significant over-representation by goseq (Bonferroni adjusted p -value < 2 × 10 –16 , see Figure 2A and Supplementary Data File 2 ).

The molecular essence of all samples was consistent between measurements on the solariX and scimaX systems, with ANOVA revealing highly significant differences among sample groups ( p < 2 × 10 –16 ).

The ANOVA test revealed that the prediction of fresh weight by the finalized model was highly significant ( p < 2e-16).

We observed that the A/I ratio was highly significant and associated with improved outcome (A/I ratio: HR = 0.77, P < 2x10 -16 ), while the total TIL score was associated with poorer outcome (TIL HR = 1.03, P = 0.0137).

Consistent with previous research ( 34 , 35 ), the RSA model predictions closely resembled listeners’ behavior, with the regression of listeners’ actual choice frequencies against model predictions being highly significant at the group level ( r = 0.89, P < 2 × 10 −16 ; Fig. 2A ) and across listeners (logistic regression coefficient = 5.84 ± 0.17, t 40 = 34.24, P < 2 × 10 −16 ).

Compared with dense forest, analysis of the variance between these three habitats reveals a highly significant difference ( p ‐value < 2e‐16).