Excerpts

However, these correlations were still highly significant ( P values < 2.2e-16 in both Pearson and Spearman correlation tests).

The test revealed a highly significant enrichment of immune-related genes among the predicted candidates (p < 2.2e-16), with an estimated odds ratio of 48.6 (95% confidence interval: 31.6–78.3), indicating that immune genes were substantially overrepresented in the iM candidate list compared to housekeeping genes. 3.2 Validation of candidates To evaluate the iM-candidates, data from the GSE227616 dataset were compared with the identified candidates.

Although the results of the test for direction of change in expression of X-linked transcripts in CDX males compared to Control males was highly significant (χ 2 = 82.7517, df = 3, P -value <2.2*10 −16 ), there was no evidence that these transcripts had feminized expression levels in CDX males ( Table 2 ).

A Wilcoxon rank sum test indicated a highly significant difference in fitness variation ( W = 3.2 × 10 8 and P < 2.2 × 10 −16 ), supported by Welch’s t test, which showed a lower mean absolute fitness difference for closely related homologs compared to distantly related homologs ( t = −63.5, df = 7,020, and P < 2.2 × 10 −16 ; table S9).

The difference was highly significant ( P -value < 2.2 × 10 −16 ) with cGD averaging 5.8 for populations belonging to the same SDRN and 22.8 for populations that did not belong to the same SDRN.

In this study, we found a highly significant correlation between the letter and pseudo-letter versions of the MEP task ( r = 0.73, p < 2.2 × 10 −16 ; CI = 0.710–0.758; dis-attenuated correlation r = 0.915, with task reliability of 0.80).

Furthermore, we saw a slight but highly significant correlation (Pearson R 2 = 0.308452; P <2.2e -16 ) between a transcript sequence’s similarity to rRNA and the magnitude of the difference in coverage between the no selection and rRNA-depleted libraries (Additional file 11 : Figure S9 and Additional file 12 ).

Correlations between FPKM-corrected expression levels in same-sex replicate pools were highly significant for both the male ( r 2 = 0.830; Spearman’s ρ = 0.906 ; P < 2.2 × 10 − 16 ) and female ( r 2 = 0.869; Spearman’s ρ = 0.928 ; P < 2.2 × 10 − 16 ) pools.

Averaging power in this range across the entire cue presentation period revealed a highly significant difference between the six regions in the 3-s spatial working memory task (F 5,1096 = 19.98, p = 2.2E-16, effect size: η 2 = 0.09).

Given that only 0.6% of all high-coverage sites were within 10 kb of a known imprinted locus, this is a substantial (29.3-fold), and highly significant enrichment of ASHM sites around imprinted regions ( P < 2.2 × 10 −16 , χ2 test).

The overlap was highly significant (Fisher’s exact test P value <2.2 × 10 −16 ).

The Chi-squared test among the 6 groups of fishers defined above and the catches of the 14 main taxa (each representing > 2% of the total number of caught individuals and 83% of the overall catches in total) was highly significant (Chi-squared = 914.8, df = 65, p value < 2.2e-16), allowing to conclude that the groups of fishers did not have the same target species.

Given this trend, we fitted a logarithmic model to the data, which was highly significant [linear regression F ST ~ log( D a ), P < 2.2 × 10 −16 ; Pearson correlation coefficient, R 2 = 0.96].

In both cases the difference in expression level was highly significant ( p < 2.2e-16) indicating that the coverage of those genes was too low for an assembly of at least 55% in one species.

We observed a highly significant gain of methylation with age at the locus in the LBC cohort, validating our approach (Fig. 1 a, T-test, p < 2.2 × 10 −16 ).

Additionally, there was an increasing trend in the TMEscore from IE to IS to IA, with IA showing the highest TMEscore (both p < 2.2×10 −16 , Figure 2F ; p < 2.2×10 −16 , p < 2.2×10 −16 , and p = 3.6×10 −10 , respectively; Figure S2B , Supporting Information).

Indeed, this overestimation was highly significant (1-tailed t- test, t = 9.66, df = 557.16, p < 2.2 –16 ).

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

We observed a highly significant difference in the mean correlation values ( P -value < 2.2e-16, lower-tailed Wilcoxon rank sum test), with a median correlation value of -0.15 for the differentially methylated promoters detected by MethylDriver, more than twice as strong as the average association for all promoters ( Supplementary Figure S4 ).

The correlation between HGS and NBIGS in EVTs was highly significant ( Figure 6 B; SDQ 3 rho = 0.54 p < 2.2e-16; Table S6 ).

Flies (Diptera) were captured along all months under study and in all areas of the island ( Fig 10 ), but there were highly significant differences among months (G-test, G = 125.24, d.f. = 9, p = 2.2x10 -16 ).

Correlation analysis shows that genes expressed at higher levels are better correlated across both platforms than those expressed at lower abundance, although both are highly significant ( p < 2.2E-16).

Statistical analyses showed that Pearson’s χ 2 test with Yates’ continuity correction had a χ 2 statistic of 34,319 with 1 df, indicating a highly significant association (p<2.2e−16).

A total of 190,678 gene pairs had at least one TSG, and the difference in p -values between pairs with TSGs and with no TSGs was highly significant ( Figure 3 , Wilcox rank-sum test p -value < 2.2 × 10 –16 ).

magna SGR and was highly significant ( p < 2.2 × 10 −16 ; see Table 2 for additional information).