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Both data sets correlate with regression coefficient R = 0.69.
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In general all data sets correlate very well despite being performed by different groups using different conditions and antibodies (average Spearman R = 0.83, Additional file 5).
We found that PC #1 and PC #3, together accounting for 37% of the variance in the data set, correlate well with T2D state (Supplementary Figure S3).
The variants identified at HLA-A for both data sets are highly correlated and considered to tag the same effect.
The analysis confirmed that miR-9 and HES1 expression levels are inversely correlated in both data sets.
The degree of luminal narrowing measured as percent area reduction in the 3D data set correlated well with the degree of stenosis estimated by CA (r = 0.79, P <.01, mean difference 7.8% ± 15.5%); however, for stenosis between 40% and 70%, 3D US tended to give higher values.
Ratios of expressions between the diet comparisons calculated from the microarray data set correlated well with the ratio calculated from the real-time PCR data.
The results obtained in the patient data set correlated with the seemingly paradoxical in vitro results obtained in MCF10AT (current study) and in Rama37 (El-Tanani et al, 2001a) cells.
ChREBP mRNA expression, mined from the Illumina data set, correlated positively with the expression of all genes identified in the study of Jeong et al (2011) as upregulated by ChREBP apart from pyruvate dehydrogenase kinase 2 (PDK2).
Direct comparison between amino acid and DNA informativeness profiles for 40 genes for which amino acid and DNA were both extracted from OrthoMaM data sets demonstrated correlated patterns of informativeness, with two significant differences.
Further experiments were then carried out to generate statistical data sets to correlate the flow field quantifying the affect of the redesign on the key measured attributes.
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