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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

机译:用于计算用户定义的全局多通道背景校正并将其应用于通过读取微阵列获得的基于特征的数据集的方法和系统

摘要

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.
机译:一种用于估计微阵列数据集的每个通道的全局背景信号校正的方法和系统。本发明的一个实施例的方法和系统针对一种通过接收非负常数为微阵列数据集计算背景校正信号的方法,并从微阵列数据集中选择一组低结合强度特征。基于低组合强度特征,在信号强度空间中确定描述所选低组合强度特征集合的中心趋势的表示形式。该方法基于非负常数平行于确定的表示来调整微阵列数据集。

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