Mathematical Immunology of Virus Infections

• 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: Biomathematics.; Immunology.; Biomedical engineering.; Statistics .; Neural networks (Computer science) .; Physiological, Cellular and Medical Topics.; Biomedical Engineering/Biotechnology.; Statistics for Life Sciences, Medicine, Health Sciences.; Mathematical Models of Cognitive Processes and Neural Networks.
• Φυσική περιγραφή: XV, 245 p. online resource.
• ISBN: 9783319723174
• DOI: 10.1007/978-3-319-72317-4

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. .