Visual analysis and dynamical control of phosphoproteomic networks

Anke Meyer-Bäse, Robert Görke, Marc Lobbes, Mark Emmett, Carol L. Nilsson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents novel graph algorithms and modern control solutions applied to the graph networks resulting from specific experiments to discover disease-related pathways and drug targets in glioma cancer stem cells (GSCs). The theoretical framework applies to many other high-throughput data from experiments relevant to a variety of diseases. In addition to developing novel graph and control networks to predict therapeutic targets, these algorithms will provide biochemists with techniques to identify more metabolic regions and biological pathways for complex diseases, and design and test novel therapeutic solutions.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume8750
DOIs
StatePublished - 2013
Event2013 Conference on Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI - Baltimore, MD, United States
Duration: May 1 2013May 3 2013

Other

Other2013 Conference on Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI
CountryUnited States
CityBaltimore, MD
Period5/1/135/3/13

Fingerprint

Pathway
network control
Target
Graph Algorithms
Stem Cells
stem cells
Graph in graph theory
Stem cells
High Throughput
Experiment
Cancer
Drugs
drugs
cancer
Experiments
Throughput
Predict
Pharmaceutical Preparations
Vision
Framework

Keywords

  • Glioma cancer stem cells
  • Graph theory
  • Nonlinear dynamics
  • Pathway analysis and control
  • Static and dynamic graph
  • Visualization

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Meyer-Bäse, A., Görke, R., Lobbes, M., Emmett, M., & Nilsson, C. L. (2013). Visual analysis and dynamical control of phosphoproteomic networks. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 8750). [87500X] https://doi.org/10.1117/12.2019381

Visual analysis and dynamical control of phosphoproteomic networks. / Meyer-Bäse, Anke; Görke, Robert; Lobbes, Marc; Emmett, Mark; Nilsson, Carol L.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8750 2013. 87500X.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Meyer-Bäse, A, Görke, R, Lobbes, M, Emmett, M & Nilsson, CL 2013, Visual analysis and dynamical control of phosphoproteomic networks. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 8750, 87500X, 2013 Conference on Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI, Baltimore, MD, United States, 5/1/13. https://doi.org/10.1117/12.2019381
Meyer-Bäse A, Görke R, Lobbes M, Emmett M, Nilsson CL. Visual analysis and dynamical control of phosphoproteomic networks. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8750. 2013. 87500X https://doi.org/10.1117/12.2019381
Meyer-Bäse, Anke ; Görke, Robert ; Lobbes, Marc ; Emmett, Mark ; Nilsson, Carol L. / Visual analysis and dynamical control of phosphoproteomic networks. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8750 2013.
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