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Asymptotic Tests For Location, Variance, and Equivalence of Gene Expression Using the Distance Matrix

by Douglas Hayden, Mark Kon
Questions regarding this item should be sent to Douglas Hayden.

This technical report summarizes work done to develop asymptotic tests for location, variance, and equivalence of gene expression between two groups of microarrays in order to find an alternative to permutation tests based on the pairwise distance matrix. Given additive errors, the location test is not asymptotically normal without further assumptions. The variance test and equivalence test are asymptotically normal.