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The global normalization adjusts each condition to the same baseline (the median) in order to allow the hybridizations of the different conditions to be comparable.
The Northeast Extension was built with a 4 feet median in order to save money.
The one-dimensional (1D) values were obtained by scaling the ratios with the plate median in order to remove plate-to-plate variation.
A common approach is to use the mean best performance, but we took the median in order to avoid the problems that the mean has when observing large variance in the objective function values across the runs.
We calculated the median in order to filter very high or very low expression levels that may be associated with specific tissues, since our objective for this analysis was to capture expression levels across each gene irrespective of tissue specificity.
In the logistic regression model, the quantitative variables were divided in two groups: lesser than and greater than or equal to the median, in order to obtain more potent estimations.
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For simplification, we therefore also dichotomized creatinine at the medians in order to estimate the average effects of creatinine levels below the breakpoints.
Continuous predictor values for this table were dichotomised at clinically relevant cut-offs or at the medians, in order to show interpretable odds ratios.
For a gender-specific analysis of serum hCT concentrations and a comparison of the different patient groups, we determined not only means but also medians in order to minimise the effects of outliers.
One potential limitation of our analysis method is that we grouped the levels of both phthalates and PCBs into "low" and "high" levels based on their medians in order to take advantage of the RERI approach for evaluating greater than additive interaction.
These histograms are filtered with a median filter in order to eliminate noisy data.
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