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Integrating data cl...
Integrating data clustering and visualization for the analysis of 3D gene expression data
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- Rübel, Oliver (author)
- Lawrence Berkeley National Laboratory
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- Weber, Gunther H. (author)
- Lawrence Berkeley National Laboratory
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- Huang, Min-Yu (author)
- University of California, Davis
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- Bethel, E. Wes (author)
- Lawrence Berkeley National Laboratory
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- Biggin, Mark D. (author)
- Lawrence Berkeley National Laboratory
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- Fowlkes, Charless C. (author)
- University of California, Irvine
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- Luengo Hendriks, Cris L. (author)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Uppsala universitet,Datoriserad bildanalys,Centrum för bildanalys,Centre for Image Analysis
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- Keränen, Soile V.E. (author)
- Lawrence Berkeley National Laboratory
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- Eisen, Michael B. (author)
- University of California, Berkeley
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- Knowles, David W. (author)
- Lawrence Berkeley National Laboratory
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- Malik, Jitendra (author)
- University of California, Berkeley
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- Hamann, Bernd (author)
- University of California, Davis
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(creator_code:org_t)
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- 2010
- 2010
- English.
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In: IEEE/ACM Transactions on Computational Biology & Bioinformatics. - 1545-5963 .- 1557-9964. ; 7:1, s. 64-79
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- The recent development of methods for extracting precise measurements of spatial gene expression patterns from three-dimensional (3D) image data opens the way for new analyses of the complex gene regulatory networks controlling animal development. We present an integrated visualization and analysis framework that supports user-guided data clustering to aid exploration of these new complex data sets. The interplay of data visualization and clustering-based data classification leads to improved visualization and enables a more detailed analysis than previously possible. We discuss 1) the integration of data clustering and visualization into one framework, 2) the application of data clustering to 3D gene expression data, 3) the evaluation of the number of clusters k in the context of 3D gene expression clustering, and 4) the improvement of overall analysis quality via dedicated postprocessing of clustering results based on visualization. We discuss the use of this framework to objectively define spatial pattern boundaries and temporal profiles of genes and to analyze how mRNA patterns are controlled by their regulatory transcription factors.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- NATURVETENSKAP -- Biologi -- Genetik (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Genetics (hsv//eng)
Keyword
- Bioinformatics visualization
- Cluster visualization
- Data clustering
- Gene expression pattern
- Integrating Infovis/Scivis
- Multimodal visualization
- Spatial expression pattern
- Three-dimensional gene expression
- Visual data mining
- TECHNOLOGY
- TEKNIKVETENSKAP
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Rübel, Oliver
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Weber, Gunther H ...
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Huang, Min-Yu
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Bethel, E. Wes
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Biggin, Mark D.
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Fowlkes, Charles ...
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show more...
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Luengo Hendriks, ...
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Keränen, Soile V ...
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Eisen, Michael B ...
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Knowles, David W ...
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Malik, Jitendra
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Hamann, Bernd
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show less...
- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Computer Science ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Bioinformatics
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Biological Scien ...
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and Genetics
- Articles in the publication
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IEEE/ACM Transac ...
- By the university
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Uppsala University
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Swedish University of Agricultural Sciences