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Ethnic background was determined for each case and control volunteers by self-identification.
Median fluorescence intensity (MFI) minus background was determined for each feature.
The number of spots hybridizing above threshold intensity (2 SD above background) was determined for each species.
Frames at 340 and 380 nm of the analysed areas (640 nm × 480 nm) were stored every 500 ms for 3 min and the signal ratio corrected for the background was determined for each pixel after the experiment.
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The experiment was programmed using Python and the VisionEgg package (Straw, 2008).In a first task, individual contrast thresholds for 75% correct responses to uniform gray and 1/ f backgrounds were determined for each participant in a detection task using the adaptive QUEST algorithm (Billock, 2000; King-Smith, Grigsby, Vingrys, Benes, & Supowit, 1994; Watson & Pelli, 1983).
The background was determined by quantifying the intergenic regions for each sample and taking the value of the 95th percentile as background expression (Additional file 2).
The SLE and control cohorts were stratified by FcγRIIB-I232T genotype and the association of low FCGR3B CNV after accounting for FcγRIIB-I232T background was determined in the Chinese and the combined Caucasian cohorts.
The background was determined using a regression-based background mapping method.
Background was determined using a regression-based background mapping method.
The dilution of plasma required to reach the background level (A405=0.1) was determined for samples before infusion, and on days 7, 14, and 30 postinfusion.
A background correction value B was determined for each instrument which optimized a linear fit to the concentrations expected from pipetting.
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