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A Pearson correlation coefficient analysis indicated that neither cell size nor CVCT (data not shown) correlated with the expression of the p110δ subunit (P-value > 0.05).
Correlation coefficient analysis showed high reproducibility in all technical replicate pairs (R2 > 0.95) (Fig. 3c) and between different platforms (R2 > 0.86) (Supplementary Fig. 3b).
Pearson's or the Product-Moment Correlation Coefficient analysis was used to justify the extent of correlation between the key parameters.
Correlation coefficient analysis was not able to identify relationships between antibiotic consumption and bacterial resistance when the effect was delayed.
The correlation coefficient analysis results are presented in Table 4.
Correlations were revealed through Pearson's rank correlation coefficient analysis.
Each component was compared with maximal (SUV(max)) and mean (SUV mean)) SUVs using Pearson correlation coefficient analysis.
The relationships between total anxiety and total depression scores were examined with Pearson's correlation coefficient analysis.
We now review the centrality metrics that are used for the correlation coefficient analysis studies in this paper.
Simple linear correlation coefficient analysis was also carried out to examine the associations between different soil physicochemical parameters.
To determine the relationships among the analyzed traits, a Pearson correlation coefficient analysis was performed as shown in Table 2.
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