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We determined the correlation of H3K4me3 peak regions and TBP to reveal the relation between epigenetic marks and transcription initiation factors (Figure 4B).
This study determined the correlation of changes in bladder diary variables and other PROs in subjects with overactive bladder (OAB).
By a non-parametric statistical approach (DeLong's method), we determined the correlation of methylation events among all the 15 genes.
In our study, we determined the correlation of metabolic markers levels with adiposity indexes, to evaluate the metabolic imbalance caused by adipose tissue.
We determined the correlation of VEGF-A and PAIP2 protein levels, quantitatively evaluated in tumour tissue homogenates from 54 patients with HNSCC, to clinicopathological parameters.
We then assessed the size and stability of out-of-sample prediction errors for each payer category and determined the correlation of the PCRs with traditional CCRs.
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We also determined the correlations of select PFASs for paired maternal cord sera, and examined associations between maternal serum PFASs concentrations and demographic and lifestyle factors.
Pearson's correlation analysis was also carried out to determine the correlation of bacterial loads among the four zones.
A bivariate correlation was introduced to the POD results to determine the correlation of the vortex structures.
Bi-linear modeling was used to determine the correlation of GC/MS and electronic nose data to sensory data.
At various time intervals, tumor-bearing mice were imaged to determine the correlation of in vivo BLI to tumor volume.
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