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Current developments in mathematical biology : proceedings of the Conference on Mathematical Biology and Dynamical Systems, the University of Texas at Tyler, 7-9 October 2005 /

This volume is a collection of papers on various areas of current interest in mathematical biology, such as epidemic disease modeling, including the effects of vaccination and strain replacement; immunology, such as T-Cell dynamics and the mechanism of phagocytosis; knot theory; DNA computation; and...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: Conference on Mathematical Biology and Dynamical Systems University of Texas at Tyler
Otros Autores: Mahdavi, Kazem, Culshaw, Rebecca, 1974-, Boucher, John (John Cliff)
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Singapore ; Hackensack, N.J. : World Scientific, ©2007.
Colección:K & E series on knots and everything ; v. 38.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Current developments in mathematical biology :  |b proceedings of the Conference on Mathematical Biology and Dynamical Systems, the University of Texas at Tyler, 7-9 October 2005 /  |c editors, Kazem Mahdavi, Rebecca Culshaw & John Boucher. 
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505 0 |a Introduction; CONTENTS; Methylation of DNA may be Useful as a Computational Tool: Experimental Evidence Susannah Gal, Nancy Monteith, Sara Shkalim, Hu Huang and Tom Head; Dynamics of Random Boolean Networks James F. Lynch; Unknots and DNA Louis H. Kauffman and S. Lambropoulou; Developing a Mathematical Model of Phagocytosis: A Learning Process Nata?sa Macura, Tong Zhang and Arturo Casadevall; An Age Structured Model of T Cell Populations Brynja Kohler; Modeling and Simulation of Age- and Space-Structured Biological Systems Bruce P. Ayati. 
520 |a This volume is a collection of papers on various areas of current interest in mathematical biology, such as epidemic disease modeling, including the effects of vaccination and strain replacement; immunology, such as T-Cell dynamics and the mechanism of phagocytosis; knot theory; DNA computation; and Boolean networks. 
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