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Linear regression analysis revealed a modest correlation between SCN c-fos expression and FAA (R2 = 0.13, p = 0.044, Figure 9B), and no correlation between arcuate c-fos expression and FAA (R2 = 0.06, p = 0.203, Figure 9D).

Regression analysis revealed a significant correlation between log dose and insect mortality (P < 0.05).

Statistical analysis revealed a positive correlation between pH and the oxygen consumption pattern in trilobite larvae.

AUC analysis revealed a strong correlation between citrulline and CRP (Pearson correlation r = 0.96).

Moreover population structure analysis revealed a high correlation between genetic and geographic distances.

Interestingly, statistical analysis revealed a positive correlation between ribosome occupancy and Open Reading Frame (ORF) length.

The analysis revealed a high correlation between expression levels of glucose transporters in vitro and in vivo (R2 = 0.81).

QNMR analysis revealed a direct correlation between the weight of the liver and its % fat content (Figure 4D).

Correlation analysis revealed a negative correlation between DHEA-S levels and age in all behavioral groups.

Pearson correlation analysis revealed a positive correlation between these two values (r = 0.822, P < 0.001).

In silico analysis revealed a positive correlation between rice cyclophilin protein family and plant stress response.