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Proceedings Paper

Visualization of mappings between the gene ontology and cluster trees
Author(s): Ilir Jusufi; Andreas Kerren; Vladyslav Aleksakhin; Falk Schreiber
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Paper Abstract

Ontologies and hierarchical clustering are both important tools in biology and medicine to study high-throughput data such as transcriptomics and metabolomics data. Enrichment of ontology terms in the data is used to identify statistically overrepresented ontology terms, giving insight into relevant biological processes or functional modules. Hierarchical clustering is a standard method to analyze and visualize data to find relatively homogeneous clusters of experimental data points. Both methods support the analysis of the same data set, but are usually considered independently. However, often a combined view is desired: visualizing a large data set in the context of an ontology under consideration of a clustering of the data. This paper proposes a new visualization method for this task.

Paper Details

Date Published: 24 January 2012
PDF: 12 pages
Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940N (24 January 2012); doi: 10.1117/12.906700
Show Author Affiliations
Ilir Jusufi, Linnaeus Univ. (Sweden)
Andreas Kerren, Linnaeus Univ. (Sweden)
Vladyslav Aleksakhin, Linnaeus Univ. (Sweden)
Falk Schreiber, IPK Gatersleben (Germany)
Martin-Luther Univ. Halle-Wittenberg (Germany)

Published in SPIE Proceedings Vol. 8294:
Visualization and Data Analysis 2012
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen; Robert Kosara; Mark A. Livingston; Jinah Park; Ian Roberts, Editor(s)

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