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＜電子ブック＞
Mathematical Immunology of Virus Infections / by Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans

版	1st ed. 2018.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2018
大きさ	XV, 245 p : online resource
著者標目	*Bocharov, Gennady author Volpert, Vitaly author Ludewig, Burkhard author Meyerhans, Andreas author SpringerLink (Online service)
件　名	LCSH:Biomathematics LCSH:Immunology LCSH:Biotechnology LCSH:Biometry LCSH:Neural networks (Computer science)  FREE:Mathematical and Computational Biology FREE:Immunology FREE:Biotechnology FREE:Biostatistics FREE:Mathematical Models of Cognitive Processes and Neural Networks
一般注記	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. HTTP:URL=https://doi.org/10.1007/978-3-319-72317-4

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