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MarVis: a tool for clustering and visualization of metabolic biomarkers |
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| Authors: | Alexander Kaever Thomas Lingner Kirstin Feussner Cornelia G?bel Ivo Feussner Peter Meinicke |
| Affiliation: | (1) Department of Bioinformatics, Institute of Microbiology and Genetics,Georg-August-University G?ttingen, G?ttingen, Germany;(2) Department of Developmental Biochemistry, Institute for Biochemistry and Molecular Cell Biology,Georg-August-University G?ttingen, G?ttingen, Germany;(3) Department for Plant Biochemistry, Albrecht-von-Haller-Institute for Plant Sciences,Georg-August-University G?ttingen, G?ttingen, Germany |
| Abstract: | BackgroundA central goal of experimental studies in systems biology is to identify meaningful markers that are hidden within a diffuse background of data originating from large-scale analytical intensity measurements as obtained from metabolomic experiments. Intensity-based clustering is an unsupervised approach to the identification of metabolic markers based on the grouping of similar intensity profiles. A major problem of this basic approach is that in general there is no prior information about an adequate number of biologically relevant clusters. |
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