DocumentCode :
389352
Title :
Grid-layout visualization method in the microarray data analysis interactive graphics toolkit
Author :
Xiao, Li ; Shats, Oleg ; Sherman, Simon
Author_Institution :
Nebraska Informatics Center for the Life Sci., Univ. of Nebraska Med. Center, Omaha, NE, USA
fYear :
2003
fDate :
6-9 Jan. 2003
Abstract :
The expression levels of thousands of genes in different tissues or cells in different conditions can be detected all at one time by DNA microarray technology. A new, grid-layout method for the visualization results of hierarchical cluster analysis of DNA microarray data is proposed and incorporated in the microarray interactive graphics toolkit (MIGT). The grid-layout consists of a set of regular, two-dimensional grid units. Each unit represents a cluster or a group of gene clusters. The units are connected to adjacent ones by the neighborhood relation of the clusters in a hierarchical tree. Nodes lying near each other in the hierarchical tree are mapped onto nearby grid-layout units. The number of units may vary on a scale from a few dozen up to several thousands, depending on the number of the nodes in a hierarchical tree. Different colors are assigned to the units with RGB value according to the coordinates of the units, and the inter-distances, which are the distances between clusters in a hierarchical tree, and the intra-distances, which are the distances between genes within one cluster. The closer the inter-distances, the more similar the color of the units are, the smaller the intra-distances, the warmer the color of the unit is.
Keywords :
DNA; biology computing; colour graphics; data visualisation; genetics; pattern clustering; DNA microarray technology; cluster analysis; color; gene clusters; grid-layout visualization; microarray data analysis; microarray interactive graphics toolkit; Biomedical informatics; Cancer detection; DNA; Data analysis; Data visualization; Diseases; Gene expression; Glass; Graphics; Tree graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 2003. Proceedings of the 36th Annual Hawaii International Conference on
Print_ISBN :
0-7695-1874-5
Type :
conf
DOI :
10.1109/HICSS.2003.1174805
Filename :
1174805
Link To Document :
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