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    • 8. 发明授权
    • Algorithms for classification of disease subtypes and for prognosis with gene expression profiling
    • 疾病亚型分类和基因表达谱分析的预测算法
    • US08463590B2
    • 2013-06-11
    • US12578417
    • 2009-10-13
    • Wei-min Liu
    • Wei-min Liu
    • G06F9/455
    • G06F19/20G06F19/24
    • Methods for generating a normalized expression signal for microarray data based on a theoretical distribution at the unit level to produce a normalized expression signal for the single microarray that is independent of other microarrays. The method typically includes receiving microarray data representing a plurality of probe pairs for a single microarray, determining, for each probe pair, differences between intensities of perfect match (PM) probes and intensities of mismatched (MM) probes, determining a difference signal, D, based on the determined differences, and scaling the difference signal, D, to produce an expression signal, DS. The method also typically includes normalizing the expression signal based on a theoretical distribution at the unit level to produce a normalized expression signal for the single microarray that is independent of other microarrays.
    • 基于单位级别的理论分布产生用于微阵列数据的归一化表达式信号以产生独立于其他微阵列的单个微阵列的归一化表达式信号的方法。 该方法通常包括接收表示用于单个微阵列的多个探针对的微阵列数据,为每个探针对确定完美匹配(PM)探针的强度和不匹配(MM)探针的强度之间的差异,确定差异信号D 基于所确定的差异,并且缩放差分信号D以产生表达信号DS。 该方法还通常包括基于在单位水平的理论分布来归一化表达信号,以产生独立于其他微阵列的单个微阵列的归一化表达信号。