國立虎尾科技大學 |

Mathematical Immunology of Virus Infections

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mathematical Immunology of Virus Infections/ by Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans.
Author:	Bocharov, Gennady.
other author:	Volpert, Vitaly.
Description:	XV, 245 p.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biomathematics. -
Online resource:	https://doi.org/10.1007/978-3-319-72317-4
ISBN:	9783319723174

Mathematical Immunology of Virus Infections
Bocharov, Gennady.

Mathematical Immunology of Virus Infections[electronic resource] /by Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans. - 1st ed. 2018. - XV, 245 p.online resource.

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. .

ISBN: 9783319723174

Standard No.: 10.1007/978-3-319-72317-4doiSubjects--Topical Terms:

527725
Biomathematics.

LC Class. No.: QH323.5

Dewey Class. No.: 570.285

Mathematical Immunology of Virus Infections
LDR:02281nam a22003975i 4500 001 994661
003 DE-He213
005 20200629170516.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319723174 $9 978-3-319-72317-4
024 7 $a 10.1007/978-3-319-72317-4 $2 doi
035 $a 978-3-319-72317-4
050 4 $a QH323.5
072 7 $a PBW $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBW $2 thema
082 0 4 $a 570.285 $2 23
100 1 $a Bocharov, Gennady. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1206406
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
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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. $3 527725
650 0 $a Immunology. $3 592892
650 0 $a Biomedical engineering. $3 588770
650 0 $a Statistics . $3 1253516
650 0 $a Neural networks (Computer science) . $3 1253765
650 1 4 $a Physiological, Cellular and Medical Topics. $3 668518
650 2 4 $a Biomedical Engineering/Biotechnology. $3 1068811
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 670172
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 884110
700 1 $a Volpert, Vitaly. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 785455
700 1 $a Ludewig, Burkhard. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1285882
700 1 $a Meyerhans, Andreas. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1285883
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319723167
776 0 8 $i Printed edition: $z 9783319723181
776 0 8 $i Printed edition: $z 9783030101855
856 4 0 $u https://doi.org/10.1007/978-3-319-72317-4
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)