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The background was corrected after each acquisition of 25 spectra.
The background was corrected using the Shirley method, and the binding energy of the C 1s peak from the support at 284.5 eV was taken as an internal standard.
The background was corrected by a homology 3-dimensional fit.
For RMA, the background was corrected by convolution.
Five scans were averaged to obtain smooth spectra, and the background was corrected.
Using the lumi pipeline, the background was corrected with the bgAdjust.affy package, and the data were quantile-normalized and log2-transformed to achieve normality.
Similar(52)
Once the background is corrected using DFCM, the data are normalized using quantile normalization and summarized with median polish.
The local background was corrected by the normexp method with an offset of 50.
Background was corrected and the intensity of each protein was normalized to the respective loading controls.
Background was corrected with the Feature Extraction Software™ (Agilent Technologies), subtracting the mismatch intensities for each spotted tag.
Background was corrected using the threshold value for all channels.
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