Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-24T05:36:01.304Z Has data issue: false hasContentIssue false
  • English
  • Français

Preface. Distributed Parameter Systems in Immunology

Published online by Cambridge University Press:  17 October 2012

H.T. Banks ,
G. Bocharov ,
Z. Grossman  and
A. Meyerhans
H.T. Banks*
Affiliation:
Center for Research in Scientific Computation, Center for Quantitative Sciences in Biomedicine N.C. State University, Raleigh, NC 27695-8212, USA
G. Bocharov*
Affiliation:
Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow 119333, Russia
Z. Grossman*
Affiliation:
Laboratories of Immunology and Cellular and Molecular Immunology National Institute of Allergy and Infectious Diseases, National Institutes of Health Bethesda, MD 20892, USA Sackler Faculty of Medicine, Tel Aviv University, Israel
A. Meyerhans*
Affiliation:
Department of Experimental and Health Sciences, Universitat Pompeu Fabra Barcelona 08003, Spain
*
⋆ Corresponding author. E-mail: [email protected]
⋆⋆ Corresponding author. E-mail: [email protected]
⋆⋆⋆ Corresponding author. E-mail: [email protected]
Get access

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'

Keywords

mathematical modeldistributed parameter systemsimmunophysiological systemsvirus infections
Type
Research Article
Information
Mathematical Modelling of Natural Phenomena , Volume 7 , Issue 5: Immunology , 2012 , pp. 1 - 3
Copyright
© EDP Sciences, 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Références

H.T Banks, G. Bocharov, Z. Grossman, A. Meyerhans. Preface
W.E. Paul. The Immune System – Complexity Exemplified
H.T. Banks, S. Hu. Propagation of growth uncertainty in a physiologically structured population
H.T. Banks, W.C. Thompson. Mathematical models of dividing cell populations : application to CFSE data
Ben J.C. Quah, A. Bruce Lyons, C.R. Parish. The use of CFSE-like dyes for measuring lymphocyte proliferation : experimental considerations and biological variables
F. Kappel. Modeling the dynamics of the cardiovascular-respiratory system (CVRS) in humans, a survey
G. Bocharov, V.A. Chereshnev, I. Gainova, S. Bazhan, B. Bachmetyev, J.M. Argilaguet, J.P. Martinez, A. Meyerhans. Human Immunodeficiency Virus infection : from biological observations to mechanistic mathematical modelling
E. Domingo, C. Perales. From quasispecies theory to viral quasispecies : how complexity has permeated virology
G. Pérez-Vilaró, J. Jungfleisch, V. Saludes, N. Scheller, M. Giménez-Barcons, J. Díez. Host factors in viral life cycles