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Proceedings Paper

Novel systems biology and computational methods for lipidomics
Author(s): Anke Meyer-Bäse; Sylvain Lespinats
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Paper Abstract

The analysis and interpretation of large lipidomic data sets requires the development of new dynamical systems, data mining and visualization approaches. Traditional techniques are insufficient to study corregulations and stochastic fluctuations observed in lipidomic networks and resulting experimental data. The emphasis of this paper lies in the presentation of novel approaches for the dynamical analysis and projection representation. Different paradigms describing kinetic models and providing context-based information are described and at the same time their interrelations are revealed. These qualitative and quantitative methods are applied to the lipidomic analysis of U87 MG glioblastoma cells. The achieved provide a more detailed insight into the data structure of the lipidomic system.

Paper Details

Date Published: 13 April 2010
PDF: 8 pages
Proc. SPIE 7703, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, 77030Y (13 April 2010); doi: 10.1117/12.849906
Show Author Affiliations
Anke Meyer-Bäse, Florida State Univ. (United States)
Sylvain Lespinats, CEA, LIST, Multisensor Intelligence and Machine Learning Lab. (France)


Published in SPIE Proceedings Vol. 7703:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII
Harold H. Szu; F. Jack Agee, Editor(s)

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