Abstract
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
Recommended Citation
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 https://doi.org/10.1109/IJCNN.2002.1005487
Meeting Name
2002 International Joint Conference on Neural Networks, 2002
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
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
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2002
