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Method and system for computing and applying a user-defined, global, multi-channel background correction to a feature-based data set obtained from reading a microarray
Method and system for computing and applying a user-defined, global, multi-channel background correction to a feature-based data set obtained from reading a microarray
A method and system for estimating a global background-signal correction for each channel of a microarray data set. The method and system of one embodiment of the present invention is directed to a method for calculating background corrected signals for a microarray data set by receiving a non-negative constant and selects a set of low-combined-intensity features from the microarray data set. Based on the low-combined-intensity features, a representation that describes a central-trend of the selected set of low-combined-intensity features is determined in signal-intensity space. The method adjusts the microarray data set parallel to the determined representation based on the non-negative constant.
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