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Virus host cell genetic material tra...

Schiesser, William E.

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Virus host cell genetic material transport = computational ode/pde modeling with R /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Virus host cell genetic material transport/ by William E. Schiesser.
Reminder of title:	computational ode/pde modeling with R /
Author:	Schiesser, William E.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	viii, 170 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Virus Protein ODE/PDE Models -- 2. Implementation of the ODE/PDE Models -- 3. Host Cell Proteins with Cross Diffusion -- 4. Postulated Vaccine and Therapeutic -- 5. Detailed ODE/PDE Model Analysis.
Contained By:	Springer Nature eBook
Subject:	Host-virus relationships - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-030-68865-3
ISBN:	9783030688653

Virus host cell genetic material transport = computational ode/pde modeling with R /
Schiesser, William E.

Virus host cell genetic material transportcomputational ode/pde modeling with R /[electronic resource] :by William E. Schiesser. - Cham :Springer International Publishing :2022. - viii, 170 p. :ill., digital ;24 cm.

1. Virus Protein ODE/PDE Models -- 2. Implementation of the ODE/PDE Models -- 3. Host Cell Proteins with Cross Diffusion -- 4. Postulated Vaccine and Therapeutic -- 5. Detailed ODE/PDE Model Analysis.

The focus of this book is a detailed discussion of the modeling of virus host cell interactions by exploring a variety of differential equation-based models frequently used in mathematical biology. The book provides numerical schemes, implemented in R, for Mathematical models of viral genetic material spread. The numerical schemes are implemented in R, an open source software that is freely available on the internet. The R routines are available from a download link so that the example models can be executed without having to ﬁrst study numerical methods and computer coding. The routines can then be applied to variations and extensions of the ODE/PDE model, such as changes in the parameters and the form of the model equations.

ISBN: 9783030688653

Standard No.: 10.1007/978-3-030-68865-3doiSubjects--Topical Terms:

3589549
Host-virus relationships
--Mathematical models.

LC Class. No.: QR482 / .S34 2022

Dewey Class. No.: 616.9101

Virus host cell genetic material transport = computational ode/pde modeling with R /
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100 1 $a Schiesser, William E. $3 3319181
245 1 0 $a Virus host cell genetic material transport $h [electronic resource] : $b computational ode/pde modeling with R / $c by William E. Schiesser.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a viii, 170 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Virus Protein ODE/PDE Models -- 2. Implementation of the ODE/PDE Models -- 3. Host Cell Proteins with Cross Diffusion -- 4. Postulated Vaccine and Therapeutic -- 5. Detailed ODE/PDE Model Analysis.
520 $a The focus of this book is a detailed discussion of the modeling of virus host cell interactions by exploring a variety of differential equation-based models frequently used in mathematical biology. The book provides numerical schemes, implemented in R, for Mathematical models of viral genetic material spread. The numerical schemes are implemented in R, an open source software that is freely available on the internet. The R routines are available from a download link so that the example models can be executed without having to ﬁrst study numerical methods and computer coding. The routines can then be applied to variations and extensions of the ODE/PDE model, such as changes in the parameters and the form of the model equations.
650 0 $a Host-virus relationships $x Mathematical models. $3 3589549
650 0 $a R (Computer program language) $3 784593
650 1 4 $a Life Sciences, general. $3 890967
650 2 4 $a Biochemistry, general. $3 890840
650 2 4 $a Microbiology. $3 536250
650 2 4 $a Protein Science. $3 1067276
650 2 4 $a Mathematical and Computational Biology. $3 1566274
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-68865-3
950 $a Biomedical and Life Sciences (SpringerNature-11642)