Paper
24 January 2012 Visualization of mappings between the gene ontology and cluster trees
Ilir Jusufi, Andreas Kerren, Vladyslav Aleksakhin, Falk Schreiber
Author Affiliations +
Proceedings Volume 8294, Visualization and Data Analysis 2012; 82940N (2012) https://doi.org/10.1117/12.906700
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ilir Jusufi, Andreas Kerren, Vladyslav Aleksakhin, and Falk Schreiber "Visualization of mappings between the gene ontology and cluster trees", Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940N (24 January 2012); https://doi.org/10.1117/12.906700
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Visualization

Biological research

Biology

Statistical analysis

Associative arrays

Java

Medicine

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