Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data

Author

Krumpelman, Chase ; Ghosh, Joydeep

Author_Institution

Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX

fYear

2007

fDate

1-5 April 2007

Firstpage

121

Lastpage

126

Abstract

Algorithms have been recently developed for clustering microarray data that allow elements - usually genes - to belong to more than one cluster. The labellings that these algorithms produce are intuitively closer to the reality of biological processes, but are more difficult to analyze by traditional means. In this paper, we introduce an algorithm for aligning the results of overlapping clusterings and for visualizing the results. We demonstrate the utility of the visualization, and provide an example of the application of the alignment technique to constructing an overlapping clustering ensemble

Keywords

data visualisation; pattern clustering; pattern matching; microarray data matching; microarray data visualization; multiple overlapping clusterings; Algorithm design and analysis; Bioinformatics; Biological processes; Clustering algorithms; Computational biology; Computational intelligence; Data visualization; Density measurement; Hamming distance; Labeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Bioinformatics and Computational Biology, 2007. CIBCB '07. IEEE Symposium on

Conference_Location

Honolulu, HI

Print_ISBN

1-4244-0710-9

Type

conf

DOI

10.1109/CIBCB.2007.4221213

Filename

4221213