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IEEE Computer Society Bioinformatics Conference (CSB'03)   p. 124
Stochastic Stage-structured Modeling of the Adaptive Immune System
Dennis L. Chao, University of New Mexico
Miles P. Davenport, University of New South Wales
Stephanie Forrest, University of New Mexico
Alan S. Perelson, Los Alamos National Laboratory

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSB.2003.1227311
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Abstract
We have constructed a computer model of the cytotoxic T lymphocyte (CTL) response to antigen and the maintenance of immunological memory. Because immune responses often begin with small numbers of cells and there is great variation among individual immune systems, we have chosen to implement a stochastic model that captures the life cycle of T cells more faithfully than deterministic models. Past models of the immune response have been differential equation based, which do not capture stochastic effects, or agent-based, which are computationally expensive. We use a stochastic stage-structured approach that has many of the advantages of agent-based modeling but is much more efficient. Our model can provide insights into the effect infections have on the CTL repertoire and the response to subsequent infections.
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Citation:  Dennis L. Chao, Miles P. Davenport, Stephanie Forrest, Alan S. Perelson, "Stochastic Stage-structured Modeling of the Adaptive Immune System," csb, p. 124,  IEEE Computer Society Bioinformatics Conference (CSB'03),  2003