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
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;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCISE.2003.1225859
