Mathematical Immunology of Virus Infections

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 experi...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Bocharov, Gennady (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Volpert, Vitaly (http://id.loc.gov/vocabulary/relators/aut), Ludewig, Burkhard (http://id.loc.gov/vocabulary/relators/aut), Meyerhans, Andreas (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03462nam a2200565 4500
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100 1 |a Bocharov, Gennady.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Mathematical Immunology of Virus Infections  |h [electronic resource] /  |c by Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XV, 245 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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505 0 |a 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. 
520 |a 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. . 
650 0 |a Biomathematics. 
650 0 |a Immunology. 
650 0 |a Biomedical engineering. 
650 0 |a Statistics . 
650 0 |a Neural networks (Computer science) . 
650 1 4 |a Physiological, Cellular and Medical Topics.  |0 http://scigraph.springernature.com/things/product-market-codes/M31020 
650 2 4 |a Immunology.  |0 http://scigraph.springernature.com/things/product-market-codes/B14000 
650 2 4 |a Biomedical Engineering/Biotechnology.  |0 http://scigraph.springernature.com/things/product-market-codes/B24000 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences.  |0 http://scigraph.springernature.com/things/product-market-codes/S17030 
650 2 4 |a Mathematical Models of Cognitive Processes and Neural Networks.  |0 http://scigraph.springernature.com/things/product-market-codes/M13100 
700 1 |a Volpert, Vitaly.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Ludewig, Burkhard.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Meyerhans, Andreas.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783319723167 
776 0 8 |i Printed edition:  |z 9783319723181 
776 0 8 |i Printed edition:  |z 9783030101855 
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912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)