DocumentCode
1645618
Title
Tissue classification through analysis of gene expression data using a new family of ART architectures
Author
Xu, Rui ; Anagnostopoulos, Georgios C. ; Wunsch, Donald C., II
Author_Institution
Appl. Computational Intelligence Lab., Missouri Univ., Rolla, MO, USA
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
300
Lastpage
304
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
Keywords
ART neural nets; biological tissues; cancer; medical diagnostic computing; patient diagnosis; patient treatment; pattern classification; ART architectures; DNA microarray; cancer diagnosis; cancer treatment; ellipsoid ART; ellipsoid ARTMAP; gene expression data; tissue classification; Bioinformatics; Cancer; Clustering algorithms; Computer architecture; DNA; Fluorescence; Gene expression; Genomics; Neural networks; Subspace constraints;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1005487
Filename
1005487
Link To Document