Publikation: Visualization of mappings between the gene ontology and cluster trees
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2012
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WONG, Pak Chung, ed. and others. Visualization and data analysis 2012 : 23 - 25 January 2012, Burlingame, California, United States ; proceedings. Bellingham, Wash.: SPIE, 2012, 82940N. SPIE Proceedings. 8294. ISBN 978-0-8194-8941-8. Available under: doi: 10.1117/12.906700
Zusammenfassung
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.
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IS&T/SPIE electronic imaging, science and technology, 23. Jan. 2012 - 25. Jan. 2012, Burlingame, California, United States
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JUSUFI, Ilir, Andreas KERREN, Vladyslav ALEKSAKHIN, Falk SCHREIBER, 2012. Visualization of mappings between the gene ontology and cluster trees. IS&T/SPIE electronic imaging, science and technology. Burlingame, California, United States, 23. Jan. 2012 - 25. Jan. 2012. In: WONG, Pak Chung, ed. and others. Visualization and data analysis 2012 : 23 - 25 January 2012, Burlingame, California, United States ; proceedings. Bellingham, Wash.: SPIE, 2012, 82940N. SPIE Proceedings. 8294. ISBN 978-0-8194-8941-8. Available under: doi: 10.1117/12.906700BibTex
@inproceedings{Jusufi2012-06-19Visua-38600,
year={2012},
doi={10.1117/12.906700},
title={Visualization of mappings between the gene ontology and cluster trees},
number={8294},
isbn={978-0-8194-8941-8},
publisher={SPIE},
address={Bellingham, Wash.},
series={SPIE Proceedings},
booktitle={Visualization and data analysis 2012 : 23 - 25 January 2012, Burlingame, California, United States ; proceedings},
editor={Wong, Pak Chung},
author={Jusufi, Ilir and Kerren, Andreas and Aleksakhin, Vladyslav and Schreiber, Falk},
note={Article Number: 82940N}
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<dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
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