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Before performing the methylation analysis, we quantified the yield of extracted DNA by quantitative PCR for the GAPDH (glyceraldehyde 3-phosphate dehydrogenase) gene.
Moreover, by including normal samples in the analysis, we quantified the degree to which cell lines retain the Membranome up- and down- regulations observed in primary tumors with respect to their normal counterparts.
In another sensitivity analysis, we quantified the effect of outcome misclassification on the prevalence odds ratios.
Finally, to assess our microarray analysis, we quantified the expression of seven selected genes by Q-PCR.
Sequences of the primers are given in additional file 3. To validate the results of the microarray analysis, we quantified the expression of eight genes relative to ACT9.
As a control for the specificity of our analysis, we quantified the expression of cfos among the different neuronal subtypes in the subpallium.
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By applying the SCT algorithm and statistical analysis, we quantify the spatial configuration of promyelocytic leukemia nuclear bodies with respect to irregular-shaped SC35 domains.
Next to a theoretical worst-case analysis, we quantify the power-rate trade-off for different practical settings.
At 7 days post-transplantation, by ImageJ software analysis, we quantify the presence of apoptotic and necrotic areas inside graft cores by TUNEL.
Using meta-analysis we quantified the risk of melanoma associated with indoor tanning using artificial ultraviolet light, including dose-response and the estimated burden of melanoma and death associated with sunbed use in western Europe.
Using recent advances in machine-assisted text analysis, we quantified this racist, xenophobic, anti-Semitic and violent perspective based on the context in which authors use relevant keywords.
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