Barely Significant

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514,629 sentences

highly significantP <10 -1600.0× alphaqualifiedgold
When test and training data were from the same day, estimates of mouse location were excellent (median error nearly always <7 cm) and highly significant compared to shuffled test data ( P <10 -160 ; Kolmogorov-Smirnov test).
Long-term dynamics of CA1 hippocampal place codes.
Nat Neurosci · 2013 · PMC3784308
highly significantP < 3.567e-1590.0× alphaqualifiedgold
A total of 433 genes, representing 50% of differentially regulated genes between FEnS and AEnS, were similarly regulated in both sample sets ( Figure 4 A and Supplementary Worksheet 6 ), with a highly significant overlap in the gene set enrichment analysis ( P < 3.567e-159).
highly significantp=2.1 × 10 −1510.0× alphaqualifiedgold
A highly significant sex effect (min p=2.1 × 10 −151 ) and aging effect (min p=8.0 × 10 −44 ) were noted, together explained up to 21% of the variance per facial phenotype (e.g. between alares and Ls; Figure 1—figure supplement 2A–2C , Supplementary file 1 - Table 3).
highly significantP = 4.8021e-1500.0× alphaqualifiedgold
H3K27ac/mC (Fisher’s two-tailed P = 6.5598e-292), H3K4me3/mC (Fisher’s two-tailed P = 3.0205e-273), and H3K4me3/H3K27ac (Fisher’s two-tailed P = 0) were commonly found pairs that were highly significant ( Figure 1B ), and the most frequent triplet marks were H3K4me3/H3K27ac/mC (Fisher’s two-tailed P = 4.8021e-150) and H3K4me1/H3K27ac/mC (Fisher’s two-tailed P = 7.8464e-17).
highly significantP = 1.5 × 10 −1490.0× alphaqualifiedgold
Although the overall results were highly significant for all methods, P values from the tests were the most significant for ReMM ( P = 1.5 × 10 −149 ), FATHMM noncoding ( P = 2.9 × 10 −121 ) and Eigen ( P = 2.5 × 10 −114 ), while P values for fitCons ( P = 6.0 × 10 −11 ) and GWAVA unmatched ( P = 7.3 × 10 −13 ) were the least significant, consistent with the AUC results.
highly significantP = 3.8 × 10 −1480.0× alphaqualifiedgold
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highly significantP = 3.54 × 10 −1460.0× alphaqualifiedgold
The precision of this alignment was further quantified, showing a 74.5% overlap between high-risk and tumor cell categories, with McNemar’s test 84 demonstrating a highly significant association ( P = 3.54 × 10 −146 ) (Fig. 5 d), thereby supporting SIDISH’s accuracy in identifying cellular drivers of poor prognosis within their spatial context.
highly significantp = 5.95 × 10 −1450.0× alphaqualifiedgold
Furthermore, Wilcoxon signed‐rank tests comparing the absolute prediction errors of RINAMI and the baseline model showed highly significant performance differences across the three Mega‐scale test subdatasets, with p ‐values below 0.01 in all splits ( p = 5.95 × 10 −145 , p < 1.00 × 10 −300 , and p = 1.39 × 10 −25 ).