DocumentCode
773347
Title
Gene expression clustering and 3D visualization
Author
Yang, Yonggao ; Chen, Jim X. ; Kim, Woosung
Author_Institution
Dept. Comput. Sci., Prairie View A&M Univ., TX, USA
Volume
5
Issue
5
fYear
2003
Firstpage
37
Lastpage
43
Abstract
New methods of processing DNA microarray data use the self-organizing map, principal components analysis, and 3D data plotting to discover gene patterns, reduce gene data dimensions, and visualize the final results interactively in 3D space. The system described here integrates these new approaches in gene data processing, allowing further study and gene mystery decoding.
Keywords
DNA; biology computing; data mining; data reduction; data visualisation; genetics; pattern clustering; principal component analysis; self-organising feature maps; 3D data plotting; 3D visualization; DNA microarray data; data visualization; gene data dimension reduction; gene data processing; gene expression clustering; gene mystery decoding; gene pattern discovery; principal components analysis; self-organizing map; DNA; Data visualization; Displays; Gene expression; Genomics; Monitoring; Neurons; Principal component analysis; Sampling methods; Space technology;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCISE.2003.1225859
Filename
1225859
Link To Document