Gene Expression Clustering and 3D Visualization

Authors:
Yonggao Yang;Jim X. Chen;Woosung Kim
Affiliations:
-;-;-
Venue:
Computing in Science and Engineering
Year:
2003

Citing 2
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Self-organizing maps

Self-organizing maps
An Interactive View for Hierarchical Clustering

INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization

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Abstract

New methods of processing DNA microarray data use the self-organizing map (SOM), principal components analysis (PCA), 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.