Excerpts

3 ), hence a highly significant decrease ( P <0.001 (two-sides), Mann–Whitney U -test).

The statistical significances in this work were analyzed via a two-sided Student’s t -test using the software SPSS 20 statistics (version 26.0), n.s., not significant; * P < 0.05, significant; ** P < 0.01, moderately significant; *** P < 0.001, highly significant.

To test this hypothesis, we searched for common motifs in 100 bp windows surrounding the identified MVPs in CS, LGG and CC using the multiple expectation maximization for motif elicitation (MEME) 17 suite and identified the 5′-CDGGRA-3′ motif as highly significant (MEME P -value=10 −3 , discriminative DNA motif discovery (DREME) P -value=7 × 10 −70 ).

ITA values had a highly significant difference between pigmented and non-pigmented patches ( p < 0.001, linear mixed effects model; Fig. 4C ).

Fisher’s exact test demonstrated a highly significant overlap of 1229 genes between eccDNA-associated and ZGA gene sets ( P value < 0.001; Supplementary Fig. 1B , right), which was not observed in random controls (Supplementary Fig. 1C ).

Considering all three conditions (Old, Novel, Scrambled) and only including RTs on correct trials, there was a highly significant main effect of distractor type ( F 2,78 = 28.1, p < 0.001).

Also, there was a highly significant association between life history and strandedness ( p < 0.001, Chi-square test of independence; Supplementary Data 3 ), with life history explaining 38–41% of the variability in the distribution of strand types across lineages (Table 3 ).

The first canonical axis was highly significant (eigenvalue = 0.525, F = 31.999, p = 0.0010).

In immortalized lymphocytes from human blood samples ( Supplementary Table 1 ), we observed a highly significant correlation between ARHGAP33 and SORT1 expression levels ( Fig. 7d ; r =0.42, P <0.001), suggesting that common cellular mechanisms regulate the expression of ARHGAP33 and SORT1 .

The quantitative data confirmed the previous qualitative observation in revealing a highly significant increased incidence of Type 1 cells in Cyfip1 +/− (LME: χ 2 (1) = 68.49, p < 0.001, Fig. 4c ).

Notably, there is a highly significant positive trend (linear regression, r 2 adj = 0.51, p < 0.001) in beach area for southern California, whereas the trend in northern California is moderate to weak (r 2 adj = 0.11, p = 0.02) and there is no significant trend in central California (r 2 adj = −0.02; p = 0.56; Fig. 1 ).

The results of the present study revealed an increasing trend in juniper growth with decreasing sea ice extent ( r = −0.59, 1901–2015, p < 0.001), particularly during notable recurrent periods of significant ice cover increases in 1907, 1935–1936, 1983–1984 and 2008, resulting in low growth.

Statistical analysis was performed using the Student’s t -test with statistical significance assigned at * P < 0.05 (significant), ** P < 0.01 (moderately significant), *** P < 0.001 (highly significant), and **** P < 0.0001 (extremely significant).

Statistical significance was defined as significant ( p < 0.05), very significant ( p < 0.01) and highly significant ( p < 0.001).

9 ; PC 1 is correlated with centroid size r = 0.73 and frontal size explains approximately 32% of shape variance and is highly significant [adjusted R-squared = 0.33, degrees of freedom = 75, F = 37.11, P < 0.001]).

Further M1 and M2 macrophages enrichment analysis revealed a highly significant inflammatory M1 macrophages predominance in CCR-associated EOI samples ( P < 0.001) and significant M2 macrophages enrichment in relapse-associated EOI samples ( P < 0.05) (Fig. 7d ).

Statistical analysis Statistical analysis was performed by using Student’s two-tailed t -test with statistical significance assigned at * P < 0.05 (significant), ** P < 0.01 (moderately significant), and *** P < 0.001 (highly significant).

Finally, since in this experiment there was no significant effect of body mass, it is questionable whether it is actually necessary to include body mass into the ANCOVA model, and if removed the ABX treatment effect becomes highly significant (F 1,24 = 18.6, P < .001).

P < 0.05 were considered as statistically significant and labeled as *, while ** represents P < 0.01 (highly significant), and *** represents P < 0.001 (very highly significant), respectively.

Statistical analysis was performed using the one way/two-way ANOVA or the Student’s t-test with statistical significance assigned at *** P < 0.05 (significant), ** P < 0.01 (moderately significant), *** P < 0.001 (highly significant) and **** P < 0.0001 (extremely significant).

However, both genes are highly significant (p < 0.001, with log2FC values of 2.33 and 2.7, respectively) in SHGS+ versus SHGS- hepatocytes.

P < 0.05 was considered statistically significant (*), P < 0.01 as highly significant (**), P < 0.001 as extremely significant (***), and ns as not significant.

Log-rank test confirmed a highly significant difference between the two groups ( p < 0.001) demonstrating clear separation of survival trajectories.

We additionally verified that the observed correlation was highly significant by permuting gene labels in the ABC dataset ( p value < 0.001 over 1000 permutations).

4a ) indeed exhibits an increasing trend with the latitude ( r = 0.27, P < 0.001), suggesting a certain association with IGWs.