Statistical significance of observed differences was determined by analysis of variance (ANOVA), where * indicates significant differences ( p < 0.05) and ** denotes highly significant differences ( p < 0.01). 5.
Excerpts
Differences were regarded as significant when p < 0.05 or highly significant when p < 0.01.
In this work, an isotig was considered differentially expressed when it exhibited a highly significant difference in read abundance at p < 0.01.
GIP levels were lower in male Tg 5xFAD/- and Tg 5xFAD/5xFAD mice compared to non-Tg, but changes did not reach statistical significance in Tg 5xFAD/- mice ( p = 0.010 and p < 0.05, respectively) ( Figure S2A ).
Statistical differences were considered significant at p -value < 0.05 and highly significant at p -value < 0.01.
Differences were considered highly significant at p < 0.01 and significant at p < 0.05. 4.7.
A series of highly significant correlations (r s = 1.000, p < 0.01) were identified among Otx2 protein levels across multiple ocular tissues, including the lens, optic nerve, ciliary body, iris, sclera, and eyelid.
The leaves of the CL and XIS49 cucumber during the cold treatment presented totally different lipid compositions since all the lipids detected were significantly different ( p < 0.5), and 142 showed highly significant differences ( p < 0.01).
Concurrently, an increasing trend in the frequency of Foxp3 + Tregs was observed ( p < 0.01); however, given the limited sample size ( n = 5), this finding should be interpreted with caution and requires further validation in larger cohorts.
In terms of inflammatory and oxidative stress markers, L-proline and 9(S)-HODE both showed highly significant correlations with ATP levels ( p < 0.01) and moderate associations with IL-1β ( p < 0.05).
In both experimental groups (spheroids and adherent cells), there was a highly significant decrease in the protein accumulation of standard CD44s-isoform (0.2x, 0.6x, p < 0.01) ( Figure 4 b).
The results showed a highly significant correlation between sphingolipid metabolism and key metabolites in pyrimidine metabolism ( p < 0.01, Figure S3 ).
When the concentration was greater than or equal to 1/2MIC, the anti-microbial peptide Citrocin showed highly significant ( p < 0.01) biofilm inhibition of P. aeruginosa .
Statistically, “**” indicates highly significant differences ( p < 0.01), “*” indicates significant differences ( p < 0.05), and “N.S.” indicates non-significant differences ( p > 0.05). 5.
Statistical analyses were performed using one-way ANOVA, and it was considered significant when p < 0.05 (*) or considered extremely significant when p < 0.01 (**).
An extremely significant difference was expressed with “**” when p < 0.01.
The obtained p -value of the model (<0.0001) indicates that the model was highly significant ( p < 0.01), suggesting a very low probability (0.01%) that the F-value of the model was due to noise.
CS elevated DCF fluorescence approximately 3.5 times ( p < 0.01), while ECA exposure resulted in smaller but highly significant values, reaching about 2–2.5 times higher ( p < 0.01) fluorescence. 2.2.2.
They observed that among Caucasian patients, ERG expression followed a positive trend from HGPIN (17.5%) to clinically localized prostate cancer (33%) and metastases (53%) ( p = 0.01).
“*” and “**” represent significant differences ( p < 0.05) and extremely significant differences ( p < 0.01), respectively.
Furthermore, the analysis revealed highly significant downregulation in the transcript levels of four key PCGs: COI, COII, COIII, and ND3 genes ( p < 0.01), with mean values of 0.33 ± 0.07, 0.43 ± 0.04, 0.27 ± 0.03, and 0.41 ± 0.04, respectively ( Figure 3 ). 2.2.
The difference analysis results showed that the difference between the two different concentration groups was extremely highly significant ( p < 0.01) ( Figure S1 in File S1 ). 2.2.
Statistical significance was defined as p < 0.05, and highly significant differences were defined as p < 0.01 ( n = 3).
The differences in IL-8 concentrations among the SCC classes were highly significant ( p ≤ 0.01), reflecting a strong positive correlation between the SCC levels and the inflammatory response.
As shown in Table 3 , the regression model was highly significant ( p < 0.01), and the out-of-fit term p = 0.1379 was not significant (confidence level of 95%), indicating a good fit of the model.