State vector models of the cell cycle. III: Continuous time cell cycle models |
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Authors: | R A White S L Rasmussen H D Thames |
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Affiliation: | Department of Biomathematics, The University of Texas System Cancer Center, M. D. Anderson Hospital and Tumor Institute, Houston, Texas, U.S.A. |
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Abstract: | In this paper the elements of the matrix of the Hahn cell-cycle model are identified with the infinitesimal transition probabilities of a Markov process, and as a limiting process a differential equation analogue is derived. The probability density function of the discrete time model is derived and used to obtain the density function for transit times of the continuous time model. It is shown that the mean transit time remains constant and that the variances of the discrete and continuous time models are the same to the order of the time increment. Finally, it is shown how to derive the Takahashi model from the continuous time Hahn model. |
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