Sentence examples for correlation analyses showed from inspiring English sources

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> As expected, TNFAIP1/POLDIP2, RAF1/MKRN2 and TBCB/POLR2I correlation analyses showed correlated co-expressions for the three couples of genes (r = 0.51, 0.44 and 0.56, respectively, with P < 10−).

Correlation analyses showed that age is negatively correlated with both subscales and total scores of the SHI.

Our correlation analyses showed that balance skills are significantly correlated with executive functions, cognitive impairment, and ability to switch attention between two tasks.

Voxelwise correlation analyses showed that resting-state ALFF values correlated with PALT scores in a number of brain regions, Table 2).

Correlation analyses showed that the BNP level was negatively correlated with the ankle brachial index (r = −0.453, p = 0.033).

In both the internal training cohort and the validation cohort, pairwise correlation analyses showed CMTC-3 centroid values were most closely correlated to the scores of prognostic gene signatures 70GS [ 10], P53GS [ 11] and SDPP [ 12].

Western blot and correlation analyses showed that expression of TBLR1 was positively correlated with expression of cyclin D1 (r = 0.716; P = 0.002) and nuclear β-catenin (r = 0.752; P <0.001).

Correlation analyses showed that a higher Δ PCS score was significantly correlated with a greater decrease in the Δ HADS scores, but Δ BMI was not (Table 4).

Pearson correlation analyses showed that the distribution of Ca and Zn is positively correlated and stronger for Zn uptake in F20 than in KH21 isolate (Fig. S2a d).

In the present study, our intraindividual, multiple time point correlation analyses showed that enhancement of faecal IgA levels by FOS supplementation correlates with changes in the intestinal metabolites, likely produced by commensal microbes.

Because Spearman rank order correlation analyses showed that daily temperature, relative humidity and testing period were significantly correlated with some of the pollutants (Table 3), we included these variables in models to adjust for any confounding/modifying effects.

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