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Isobologram Analysis in MATLAB for Combined Effects of Two Agents in Dose-Response Experiments

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Medical Data Analysis (ISMDA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2868))

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Abstract

Isobologram analysis is a way of exploring and visualizing combined drug effects. The aim of this work is to determine as to whether two agents can be considered synergistic or antagonistic. Resulting from a clinical consulting case in urology we developed a MATLAB-based software tool for automated isobologram analysis. In this way we supplement the clinical software-equipment in our laboratory and encourage the evaluation of combined dose-response experiments. Analysis of an example data set demonstrates the approach and the way of interpreting obtained results.

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References

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Author information

Authors and Affiliations

  1. Institut für Medizinische Statistik und Epidemiologie der Technischen, Universität München, Klinikum rechts der Isar, Ismaninger Str. 22, D-81675, München, Germany

    Stefan Wagenpfeil

  2. Urologische Klinik und Poliklinik der Technischen, Universität München, Klinikum rechts der Isar, Ismaninger Str. 22, D-81675, München, Germany

    Uwe Treiber & Antonie Lehmer

Authors
  1. Stefan Wagenpfeil
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  2. Uwe Treiber
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  3. Antonie Lehmer
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Editor information

Editors and Affiliations

  1. Institute of Computer Vision and applied Computer Sciences, IBaI, Germany

    Petra Perner

  2. Institute of Informatics, Johann Wolfgang Goethe-Universität, 60054, Frankfurt a.M., Germany

    Rüdiger Brause

  3. Institut für Biochemie, Charité, Campus Mitte, Monbijoustr. 2, 10117, Berlin, Germany

    Hermann-Georg Holzhütter

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© 2003 Springer-Verlag Berlin Heidelberg

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Wagenpfeil, S., Treiber, U., Lehmer, A. (2003). Isobologram Analysis in MATLAB for Combined Effects of Two Agents in Dose-Response Experiments. In: Perner, P., Brause, R., Holzhütter, HG. (eds) Medical Data Analysis. ISMDA 2003. Lecture Notes in Computer Science, vol 2868. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39619-2_7

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  • DOI: https://doi.org/10.1007/978-3-540-39619-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20282-0

  • Online ISBN: 978-3-540-39619-2

  • eBook Packages: Springer Book Archive

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