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We present a new side-intensity modulated self-organizing map (SIM-SOM) for improved visualization of multidimensional data. We have utilized DNA microarray dataset  for this purpose. A Gene Signature which contains a set of most informative genes was extracted using the discrimination factor method . Next, the reduced dimensional microarray data are visualized using the proposed SIM-SOM. In addition to providing clear and unambiguous cluster boundary, the SIM-SOM can help in discovering new subtypes of cancer.