design. There are several methods for selection of signicant aberrations in the literature, however, their relative merits remain unknown. In this talk we will describe an approach for quantitative evaluation of the performance of four selected methods. We use simulated data with known aberrations to validate each method and
we interpret the dierent outcomes. We also compare the performance of the methods on a collection of neuroblastoma tumors by quantifying the agreement between methods. We select appropriate techniques to combine the outputs of the methods into a meaningful aggregation in order to obtain a high condence lists of signicant aberrations.