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...

Descripción completa

Detalles Bibliográficos
Autores principales: Bocharov, Gennady, Volpert, Vitaly, Ludewig, Burkhard, Meyerhans, Andreas
Lenguaje:eng
Publicado: Springer 2018
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-72317-4
http://cds.cern.ch/record/2628668
_version_ 1780959182668693504
author Bocharov, Gennady
Volpert, Vitaly
Ludewig, Burkhard
Meyerhans, Andreas
author_facet Bocharov, Gennady
Volpert, Vitaly
Ludewig, Burkhard
Meyerhans, Andreas
author_sort Bocharov, Gennady
collection CERN
description 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. .
id cern-2628668
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
publisher Springer
record_format invenio
spelling cern-26286682021-04-21T18:46:31Zdoi:10.1007/978-3-319-72317-4http://cds.cern.ch/record/2628668engBocharov, GennadyVolpert, VitalyLudewig, BurkhardMeyerhans, AndreasMathematical immunology of virus infectionsMathematical Physics and MathematicsThis 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. .Springeroai:cds.cern.ch:26286682018
spellingShingle Mathematical Physics and Mathematics
Bocharov, Gennady
Volpert, Vitaly
Ludewig, Burkhard
Meyerhans, Andreas
Mathematical immunology of virus infections
title Mathematical immunology of virus infections
title_full Mathematical immunology of virus infections
title_fullStr Mathematical immunology of virus infections
title_full_unstemmed Mathematical immunology of virus infections
title_short Mathematical immunology of virus infections
title_sort mathematical immunology of virus infections
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-72317-4
http://cds.cern.ch/record/2628668
work_keys_str_mv AT bocharovgennady mathematicalimmunologyofvirusinfections
AT volpertvitaly mathematicalimmunologyofvirusinfections
AT ludewigburkhard mathematicalimmunologyofvirusinfections
AT meyerhansandreas mathematicalimmunologyofvirusinfections

Ejemplares similares