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Mathematical immunology of virus inf...
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SpringerLink (Online service)
Mathematical immunology of virus infections
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Mathematical immunology of virus infections/ by Gennady Bocharov ... [et al.].
other author:
Bocharov, Gennady.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
xv, 245 p. :digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Virus diseases - Mathematical models. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-72317-4
ISBN:
9783319723174
Mathematical immunology of virus infections
Mathematical immunology of virus infections
[electronic resource] /by Gennady Bocharov ... [et al.]. - Cham :Springer International Publishing :2018. - xv, 245 p. :digital ;24 cm.
Principles of virus-host interaction -- Basic principles of building a mathematical model of immune response -- Parameter estimation and model selection -- Modelling of experimental infections -- Modelling of human infections -- Spatial modelling using reaction-diffusion systems -- Multi-scale and integrative modelling approaches -- Current challenges.
This monograph concisely but thoroughly introduces the reader to the field of mathematical immunology. The book covers first basic principles of formulating a mathematical model, and an outline on data-driven parameter estimation and model selection. The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises. The target audience primarily comprises researchers and graduate students in the field of mathematical biology who wish to be concisely introduced into mathematical immunology.
ISBN: 9783319723174
Standard No.: 10.1007/978-3-319-72317-4doiSubjects--Topical Terms:
1206407
Virus diseases
--Mathematical models.
LC Class. No.: QH323.5
Dewey Class. No.: 570.15195
Mathematical immunology of virus infections
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Principles of virus-host interaction -- Basic principles of building a mathematical model of immune response -- Parameter estimation and model selection -- Modelling of experimental infections -- Modelling of human infections -- Spatial modelling using reaction-diffusion systems -- Multi-scale and integrative modelling approaches -- Current challenges.
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This monograph concisely but thoroughly introduces the reader to the field of mathematical immunology. The book covers first basic principles of formulating a mathematical model, and an outline on data-driven parameter estimation and model selection. The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises. The target audience primarily comprises researchers and graduate students in the field of mathematical biology who wish to be concisely introduced into mathematical immunology.
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Mathematics and Statistics (Springer-11649)
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