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The average background value was calculated using a subset of 1000 non-expressed genes found in the whole CATMA database.
For each gene, the mean of the two spot intensities after subtraction of the background value was calculated.
A median background value was calculated around each of the 3757 features and subtracted from the mean feature signal to give the net signal for the respective gene.
The average OD value of the triplicate uncoated wells (background value) was calculated and an outlier per triplicate was discarded when the value exceeded the average plus 2× standard deviation (SD).
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The local background value is calculated by averaging the values of a 1-voxel-thick shell at 1.5-cm distance from the boundary of an initial 70% of the maximum value isocontour.
Background values are calculated by taking the raw image values and subtracting the autofluorescence signal from regions adjacent to the channel of interest.
The background signal value was calculated as the mean intensity of the lowest 5% of all signals.
The data were normalized using the standard quantile algorithm, and the background signal value was calculated as the mean intensity of the lowest 5% of all signals.
The bands having free radical scavenging capability were identified as yellow spots against a purple background and Rf value was calculated.
To simulate baseline background signal B baseline, firstly, the mean value was calculated using the non-exonic mapped reads of its corresponding gene.
The average count in each background ROI was obtained and a geometric mean value was calculated.
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