Mathematical Immunology of Virus Infections /
|
Meyerhans, Andreas.
--
author.
|
Volpert, Vitaly.
--
author.
|
Biomedical engineering.
|
Immunology.
|
Neural networks (Computer science).
|
Statistics.
|
Physiological, Cellular and Medical Topics.
|
Biomedical Engineering/Biotechnology.
|
Immunology.
|
Mathematical Models of Cognitive Processes and Neural Networks.
|
Statistics for Life Sciences, Medicine, Health Sciences.
| Type de document | Site actuel | Cote | Statut | Date de retour prévue | Code à barres | Réservations |
|---|---|---|---|---|---|---|
| Livre | La bibliothèque des Sciences Exactes et Naturelles | 570.285 BOC (Parcourir l'étagère) | Disponible | 0000000035857 |
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.
Il n'y a pas de commentaire pour ce document.