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Visualization of Mappings between the Gene Ontology and Cluster Trees
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0001-6745-4398
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0002-0519-2537
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)
Martin-Luther University.
2012 (English)In: Proceedings of the SPIE 2012 Conference on Visualization and Data Analysis (VDA '12) / [ed] Pak Chung Wong, David L. Kao, Ming C. Hao, Chaomei Chen, Robert Kosara, Mark A. Livingston, Jinah Park, and Ian Roberts, SPIE - International Society for Optical Engineering, 2012Conference paper, (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2012.
Keyword [en]
Gene Ontology, hierarchical clustering, visualization, mappings
National Category
Bioinformatics (Computational Biology) Computer Science Bioinformatics and Systems Biology
Research subject
Computer and Information Sciences Computer Science; Natural Science, Biochemistry
Identifiers
URN: urn:nbn:se:lnu:diva-14300DOI: 10.1117/12.906700ISBN: 9780819489418 (print)OAI: oai:DiVA.org:lnu-14300DiVA: diva2:441889
Conference
Visualization and Data Analysis (VDA '12)
Available from: 2011-09-19 Created: 2011-09-19 Last updated: 2015-02-17Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf