Method and system for normalization of micro array data based on local normalization of rank-ordered, globally normalized data

摘要

A method and system for normalizing two or more molecular array data sets. Input molecular array data sets are separately globally normalized by, for example, dividing the feature-signal magnitudes of each data set by the geometric mean of the feature-signal magnitudes of the data set. The globally normalized feature signal magnitudes within each data set are ranked in ascending order. A numeric function is created that relates feature-signal magnitudes of the data sets. Only a subset of the features, obtained by selecting features that are similarly ranked in the separate feature-signal-magnitude rankings for the data sets, is used to construct the numeric function. The numeric function is smoothed by one of many possible different smoothing procedures. The smoothed numeric function is used to rescale the feature-signal magnitude in one data set to the feature-signal magnitude of another data set, or to normalize the data sets to one another by distributing correction terms amongst the feature-signal magnitudes for a feature in each data set.