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To compare EpCAM expression of different samples, the differences in Δ Ct of individual samples (ΔΔ Ct) were used (A2780 was set at 1).
Although intially evident in most large Western samples, the differences often disappear when key variables are controlled.
Although there were differences in terms of estimates of Campylobacter numbers between the methods and samples, the differences between culture and real-time PCR were not statistically significant for most of the samples used in this study.
Pretreatment with COMT + MAO-A inhibitors increased the ratio further, especially the pancreas-to-muscle ratio, but due to the small number of observations and the larger variance in a measured radioactivity in the samples, the differences did not achieve any statistical significance (p = 0.133 in pancreas-to-muscle and p = 0.386 in pancreas-to-liver ratios, Figure 2).
In the LYSIS samples the differences in expression were most pronounced.
In the matched samples, the differences between both groups were considerably smaller for most of the variables.
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Applying the filters onto the spectra of new samples, the difference between samples of different class can be obtained and the difference can be used for discrimination of these samples.
Compared to the untreated samples, the difference is over 60-fold.
Although promoter methylation was also increased in alcohol-related and unknown-risk HCC samples, the difference did not reach statistical significance.
For large samples the difference between the paired proportions can be approximated to a Normal distribution.
For each pair of samples, the difference D* between the two estimated skewness values was calculated.
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