1. A method for normalizing data from a target data set, the method being implemented in a computer and comprising the steps of: sorting data from a reference data set according to measurement value; selecting, from the sorted data, according to a predetermined criterion, reference subsets, the reference subsets having at least one reference measurement value; selecting, utilizing the reference subsets, data elements in the target data set substantially equivalent to one reference subset; sorting the data elements substantially equivalent to the one reference subset by measurement values, the sorted data elements comprising a sorted substantially equivalent subset; and normalizing the target data set, utilizing the at least one reference measurement value and the sorted substantially equivalent subset; wherein the steps of selecting data elements in said target data set, sorting the data elements and normalizing said target data set being performed by means of a non-transitory computer usable medium having computer readable code that causes the computer to perform the steps; wherein the method is utilized for decision making to increase confidence on the use of the data in activities including manufacturing, handling, hybridization, and gene expression.