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WHIDE - a web tool for visual data mining colocation patterns in multivariate bioimages
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Kolling, J., Langenkamper, D., Abouna, Sylvie, Khan, Michael and Nattkemper, T. W. (2012) WHIDE - a web tool for visual data mining colocation patterns in multivariate bioimages. Bioinformatics, 28 (8). pp. 1143-1150. doi:10.1093/bioinformatics/bts104 ISSN 1367-4803.
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Official URL: http://dx.doi.org/10.1093/bioinformatics/bts104
Abstract
Bioimaging techniques rapidly develop toward higher resolution and dimension. The increase in dimension is achieved by different techniques such as multitag fluorescence imaging, Matrix Assisted Laser Desorption / Ionization (MALDI) imaging or Raman imaging, which record for each pixel an N-dimensional intensity array, representing local abundances of molecules, residues or interaction patterns. The analysis of such multivariate bioimages (MBIs) calls for new approaches to support users in the analysis of both feature domains: space (i.e. sample morphology) and molecular colocation or interaction. In this article, we present our approach WHIDE (Web-based Hyperbolic Image Data Explorer) that combines principles from computational learning, dimension reduction and visualization in a free web application.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QH Natural history > QH301 Biology | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||
Library of Congress Subject Headings (LCSH): | Imaging systems in biology, Computational biology, Bioinformatics | ||||
Journal or Publication Title: | Bioinformatics | ||||
Publisher: | Oxford University Press | ||||
ISSN: | 1367-4803 | ||||
Official Date: | 5 March 2012 | ||||
Dates: |
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Volume: | 28 | ||||
Number: | 8 | ||||
Page Range: | pp. 1143-1150 | ||||
DOI: | 10.1093/bioinformatics/bts104 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Funder: | Medical And Life Sciences Research Fund, University of Warwick Research Development Fund |
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