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Tissue classification through analysis of gene expression data using a new family of ART architectures

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3 Author(s)
R. Xu ; Appl. Computational Intelligence Lab., Missouri Univ., Rolla, MO, USA ; G. C. Anagnostopoulos ; D. C. Wunsch

Correct classification is crucial to cancer diagnosis and treatment. We demonstrate that a new family of neural network architectures-Ellipsoid ART and ARTMAP (EA/EAM)-can cluster and classify tissues successfully through analysis of gene expression data generated by DNA microarray experiments

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Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on  (Volume:1 )

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