This finding was further supported by scatter plots, which demonstrated a highly significant level of connectivity within the turquoise module (cor = 0.77, P < 1e-200, Fig. 3 E).
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Each gene also has a highly significant methylation quantitative trait locus (meQTL) ( KIAA1804: p < 1e-200; ANAPC2: p < 3e-248), indicating that methylation levels at these CpG sites are driven by meQTL and fenofibrate.
MM in the darkorange2 module was plotted ( Figure 4B ), in which the GS and MM had a highly significant correlation (cor =0.8, P < 1e−200).
These tendencies were observed in both the 1645 group and the 239 group (data not shown) and were highly significant by Wilcoxon's rank-sum test (both of them showed P < 1e−200).
Notably, chemical effects on cell-level SRPs were reliably detected across varying signature lengths, particularly in the UPR, where chemicals such as Brefeldin A, Cycloheximide, and Troglitazone exhibited highly significant length-dependent effects ( p < 1e-200) despite their small effect sizes.
The stabilizing effects of 3AT that we observed at the single transcript level were also seen in a highly significant manner across the transcriptome (two-sided Wilcoxian paired test: p=1.165e-199) ( Figure 3H ).
Steady state mRNA levels had a highly significant ( p < 10 −197 ) correlation with mRNA stability ( Fig. 2c ).
A highly significant enrichment of Hsf1 binding sites was detected in the promoters of genes belonging to cluster 4 ( p < 10 −197 ; Table 1 ; Figure S6a in Additional file 11 ).
This trend is, again, present and highly significant in the experimental data ( 52 ) (logistic regression with two-tailed t -test, P = 1.5 × 10 − 195 , n = 7 , 311 ; Fig. 3 D , Right ).
The strong positive correlation between the cophenetic pairwise distances and proteomic dissimilarities is highly significant (rho = 0.6540, p-value = 1.9599e-195; r = 0.7291, p-value = 7.6776e-265), suggesting that the representative tree illustrates quite well the differences in the proteomic properties.
After controlling for read depth, we identified a highly significant enrichment of eQTLs among our ASEs ( p value = 2.65 × 10 −195 in putamen and 9.99 × 10 −111 in substantia nigra, using a randomisation approach—see Online Methods).
The shift for “No IC” and “Any IC” was also both highly significant ( p = 7.79406e–193 and p = 5.31155e–78, respectively) ( Table S3 ).
There is a highly significant positive correlation (r = 0.709, p = 8.98 × 10 −193 ) between the expected, real IC 50 values measured in the CCLE dataset and the values predicted by regression, based on the CGP dataset, which clearly confirms the validity of the prediction framework proposed here.
In addition to their propensity to be longer, proteins from the aggregation group also exhibited a higher relative frequency of methionines than random or dispersion proteins ( Figure 4 B), leading to a highly significant larger number of methionine residues per protein within the aggregation group, when compared to the dispersion ( p -value < 10 −192 , pairwise Wilcoxon rank sum test) or the random category ( p -value = 4 × 10 −192 , pairwise Wilcoxon rank sum test) ( Figure 4 C).
Consistent with our previous results, we found a small but highly significant enrichment of dDMPs becoming hypomethylated with cortex development ( n = 28,780 [56.5%], p = 1.61 × 10 −191 ) with the mean effect size being significantly greater for hypomethylated dDMPs than hypermethylated dDMPs (change in DNA methylation [%] per week: hypermethylated dDMPs = 1.03, hypomethylated dDMPs = −1.53, t test p < 1 × 10 −320 , Figure S3 ).
However, the correlation in expression of CD14 and K2 was highly significant (p = 8 x 10 −191 ) compared to that of CD19 and K2 (p = 0.065) at 1 dpi.
The p value of group discrimination evaluated by correlation on the first principal component (PC) axis was highly significant (p = 2.45 × 10 −190 ).
Out of the 6497 associations predicted by GLADIATOR, 301 true associations were recovered, resulting in a highly significant hypergeometric p value < 6e -186 .
50 With regard to the highly significant overlap ( P = 1.9E − 184) with the dataset comparing MDA-MB-231 cells vs MCF10A cells, it was striking that the majority of the 2385 overlapping gene features showed a negative correlation ( Fig. 2E ), indicating that more than 2/3 of the transcriptional alterations induced by low density cultivation of MCF10A cells overlapped significantly with MDA-MB-231 cells.
We found the DHCR7 lead SNP rs2852853 interacted with cohort (P = 2.0e-02) as well as gender (P = 2.6e-03), and the HLA-DQB1 lead SNP rs9275428 interacted with cohort (P = 6.1e-04), where cohort and gender were both highly significant environmental factors in the logistic regression models based on Equation 2 in the Methods section (P < 1.0e-183 and P < 1.0e-64 respectively).
This deviation is highly significant (χ 2 = 841.64, df = 2, P < 1.74 × 10 − 183 ) ( supplementary table S3 , Supplementary Material online).
To determine whether the overlap between the differentially expressed genes in FFPE RNA-Seq and FF microarrays in both datasets was not due to random association, we performed a hypergeometric test which revealed that the overlap was highly significant ( p < 10 -182 ) for both increased and decreased genes.
While about 8% of the worm genome is arranged antisense to another gene (Thierry-Mieg & Thierry-Mieg, 2006 ), approximately 35% of increased and decreased transcripts were arranged in this manner, representing a highly significant enrichment ( P = 5.3 × 10 −181 , hypergeometric distribution (hgd)) (Fig 1 B).
We found that the expression of 60% of sugar-responsive genes was also altered in dfoxoΔ flies, representing a highly significant overlap (p = 9.4 × 10 −181 ; Figure 2 ).
Although this overlap might not seem large, it is highly significant (Fisher’s exact test, p-value < 10 -180 ).