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Branching Models for the Cell Cycle

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Mathematical Models in Medicine

Part of the book series: Lecture Notes in Biomathematics ((LNBM,volume 11))

Abstract

The definition of the cell cycle as the continuous and dependent sequence of events which mark the life of a cell from its birth to its division into two daughter cells, clearly shows the extreme importance of this repetitive process for fundamental biological studies. Essentially, the cell cycle mimics in miniature many of the processes that govern the development of an organism or the differentiation process at a structural level (Mitchison, 1973). In a certain sense the cancer problem is the cell cycle problem. The action of many pathogenic agents as well as the action of the agents with therapeutic value is exerted at certain points of this cycle.

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Authors and Affiliations

  1. Institute for Documentation, Information and Statistics, German Cancer Research Center, Heidelberg, Germany

    W. Rittgen & P. Tautu

Authors
  1. W. Rittgen
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  2. P. Tautu
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Editor information

Editors and Affiliations

  1. Fakultät für Klinische Medizin Mannheim, Universität Heidelberg, Theodor-Kutzer Ufer, 6200, Mannheim, Deutschland

    Jürgen Berger

  2. Fachbereich Mathematik, Johannes Gutenberg Universität, Saarstraße 21, 6500, Mainz, Deutschland

    Wolfgang J. Bühler

  3. Abt. Medizinische Statistik und Dokumentation, Theaterstraße 13, 5100, Aachen, Germany

    Rudolf Repges

  4. Institut für Dokumentation, Information und Statistik, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 6900, Heidelberg 1, Germany

    Petre Tautu

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© 1976 Springer-Verlag Berlin · Heidelberg

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Rittgen, W., Tautu, P. (1976). Branching Models for the Cell Cycle. In: Berger, J., Bühler, W.J., Repges, R., Tautu, P. (eds) Mathematical Models in Medicine. Lecture Notes in Biomathematics, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93048-5_6

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  • DOI: https://doi.org/10.1007/978-3-642-93048-5_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-07802-9

  • Online ISBN: 978-3-642-93048-5

  • eBook Packages: Springer Book Archive

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