| 摘要 |
Results of statistical clustering and/or correlation analysis of genetic or proteomic expression data such as microarrays, gene chips, or protein chips are used, e.g., as response variables, in further analysis of expression data. In particular, an array of expression data is clustered using a cluster tool to produce an array of expression clusters. Each of the expression clusters represents the same experiments represented by the original expression array. Accordingly, each cluster of the array is of the proper form to be used as a response variable of expression values. Using an expression cluster as a response variable for either supervising clustering or correlation analysis allows correlation between such an expression cluster and other expression data.
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