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
R. Xu et al., "Tissue Classification Through Analysis of Gene Expression Data Using a New Family of ART Architectures," Proceedings of the 2002 International Joint Conference on Neural Networks, 2002, Institute of Electrical and Electronics Engineers (IEEE), Jan 2002.
The definitive version is available at http://dx.doi.org/10.1109/IJCNN.2002.1005487
2002 International Joint Conference on Neural Networks, 2002
Electrical and Computer Engineering
Keywords and Phrases
ART Architectures; ART Neural Nets; DNA Microarray; Biological Tissues; Cancer; Cancer Diagnosis; Cancer Treatment; Ellipsoid ART; Ellipsoid ARTMAP; Gene Expression Data; Medical Diagnostic Computing; Patient Diagnosis; Patient Treatment; Pattern Classification; Tissue Classification
Article - Conference proceedings
© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.