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Correlation between hypokalemia and hypoglycemia with insulin dosage was performed using a Spearman test.
Correlations were calculated using a Spearman test (SP).
Correlation indexes were measured using a Spearman test with ImageJ software.
The correlations of the household level variables were tested using a Spearman test.
The RPKM values of the genes were used for cell-line pairwise correlation analysis of the gene expression profiles using a Spearman test.
Using a Spearman test, we demonstrated that expression of miR-301a and miR-301b (r = +0.65, P = 6.7.10-6), and miR-10a and miR-10b (r = +0.75, P = 1.5.10-7) have significantly positive correlated expression.
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After using a Spearman correlation test followed by applying a multiple testing correction at a FDR of 5%, we found 1,847 genes to be positively correlated and 1,445 genes to be negatively correlated with TWIST1 mRNA expression (Additional file 3: Table S9A, B).
The correlation between induced changes in systemic hemodynamics and microcirculatory variables was assessed using a Spearman correlation test.
Correlation between the wGRS of affected and unaffected family members within families was measured using a Spearman correlation test.
Correlation was calculated using a Spearman rank test.
All the variables were analysed for general and specific correlations using a Spearman (rs) test.
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