We next calculated correlation between 3'UTR length and embryonic development stages by Pearson Correlation, using data sets corresponding to 8 different tissues from embryonic day (E) 8.5 to postnatal day (P) 0 [18].
To identify factors potentially regulating serum S100A6 serum concentrations, we next analyzed correlations between S100A6 and routinely used laboratory markers in patients with cancer, but also this analysis revealed no clear correlation (Table 3).
When bulls changed from candidate to reference individuals from one run to the next, the correlations between their DGV were much lower, ranging from 0.72 to 0.875, as expected.
To further survey the relationship between serum IFN-λ1 protein levels and disease activity, we next determined correlations between IFN-λ1 and SLEDAI as well as laboratory values containing anti-dsDNA, AnuA, smith, rRNP, AHA antibody, ESR, CRP, C3, C4 and 24-hour urine protein.
Since cytoplasmic Skp2 expression was correlated with melanoma progression, we next examined the correlation between cytoplasmic Skp2 expression and different clinicopathologic characters.
Since distal polyA (pA) site of one gene in tail-to-tail S-AS gene pair always stayed on the way of the transcription of the other gene, we next examined the correlation between change of NATs expression and the distal pA site usage of the sense gene by PA-seq, which can quantify both the distal/proximal pA site usage and the relative gene expression level (Ni et al., 2013).
We next confirmed the correlation between SPHK1 and Bim expression in primary glioma specimens.
We next tested the correlation between dopamine induction of alpha-synuclein expression and CpG-2 demethylation.
We next assessed the correlation between tumor-cell content and frequency of mutated alleles as determined by massively parallel sequencing (Fig. 2A).
We next analyzed the correlation between the percentage of monocyte subsets and serum ALT and plasma HBV DNA loads in these IA patients (Figure 3A).
