Visual Analysis of Microarray Data from Bioinformatics Applications

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Visual Analysis of Microarray Data from Bioinformatics Applications

Dietzsch, Janko; Heinrich, Julian; Nieselt, Kay; Bartz, Dirk
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URI: http://nbn-resolving.de/urn:nbn:de:bsz:21-opus-32159
http://hdl.handle.net/10900/49134
http://nbn-resolving.org/urn:nbn:de:bsz:21-dspace-491346
http://nbn-resolving.org/urn:nbn:de:bsz:21-dspace-491342
Dokumentart: Report
Date: 2008
Source: WSI ; 2008 ; 1
Language: English
Faculty: 7 Mathematisch-Naturwissenschaftliche Fakultät
Department: Informatik
DDC Classifikation: 004 - Data processing and computer science
Keywords: Explorative Datenanalyse , Visualisierung , Multivariate Daten , Multivariate Analyse , Microarray
Other Keywords: Bioinformatik , Parallele Koordinaten , Multivariate Visualisierung , DNS-Chip
Visual analytics , Bioinformatics , Microarray data , Parallel coordinates , Multi-dimensional visualization
License: http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en
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Abstract:

We present a new application designed for the visual exploration of microarray data.It is based on an extension and adaption of parallel coordinates to support the visual exploration of large and high-dimensional datasets. In particular, we investigate the visual analysis of gene-expression data as generated by microarray experiments. We combine refined visual exploration with statistical methods to a visual analytics approach, which proved to be particularly successful in this application domain. We will demonstrate the usefulness on several multidimensional gene-expression datasets from different bioinformatics applications.

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