Mathematical Models and Immune Cell Biology
Description
Whole new areas of immunological research are emerging from the analysis of experimental data, going beyond statistics and parameter estimation into what an applied mathematician would recognise as modelling of dynamical systems. Stochastic methods are increasingly important, because stochastic models are closer to the Brownian reality of the cellular and sub-cellular world.
Keywords
MedicalImmunologyScienceLife SciencesComputersComputer ScienceBiochemistry
2011Book
Author(s)Carmen Molina-París
PublisherSpringer New York
ISBN9781441977243
LanguageEnglish
