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A computational neural approach to support the discovery of gene function and classes of cancer

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1 Author(s)
F. Azuaje ; Centre for Health Inf., Trinity Coll., Dublin, Ireland

Advances in molecular classification of tumours may play a central role in cancer treatment. Here, a novel approach to genome expression pattern interpretation is described and applied to the recognition of B-cell malignancies as a test set. Using cDNA microarrays data generated by a previous study, a neural network model known as simplified fuzzy ARTMAP is able to identify normal and diffuse large B-cell lymphoma (DLBCL) patients, Furthermore, it discovers the distinction between patients with molecularly distinct forms of DLBCL without previous knowledge of those subtypes.

Published in:

IEEE Transactions on Biomedical Engineering  (Volume:48 ,  Issue: 3 )