بِسْمِ اللَّهِ الرَّحْمَنِ الرَّحِيمِ

دانلود کتاب انتقال ماده ژنتیکی سلول میزبان ویروس: مدل سازی محاسباتی ODE/PDE با R

Virus Host Cell Genetic Material Transport: Computational ODE/PDE Modeling with R | William E. Schiesser | ISBN: 303068864X, 978-3030688646, B09MVRV7BP

45,000 تومان
محصول مورد نظر موجود نمی‌باشد.
تعداد
نوع
  • {{value}}
کمی صبر کنید...

کتاب های مرتبط

سال انتشار: 2022

تعداد صفحات: 173

زبان فایل: انگلیسی

فرمت فایل: pdf

حجم فایل: 2MB

ناشر: Springer

The reproduction and spread of a virus during an epidemic proceeds when the virus attaches to a host cell and viral genetic material (VGM) (protein, DNA, RNA) enters the cell, then replicates, and perhaps mutates, in the cell. The movement of the VGM across the host cell outer membrane and within the host cell is a spatiotemporal dynamic process that is modeled in this book as a system of ordinary and partial differential equations (ODE/PDEs). 

The movement of the virus proteins through the cell membrane is modeled as a diffusion process expressed by the diffusion PDE (Fick’s second law). Within the cell, the time variation of the VGM is modeled as ODEs. The evolution of the dependent variables is computed by the numerical integration of the ODE/PDEs starting from zero initial conditions (ICs). The departure of the dependent variables from zero is in response to the virus protein concentration at the outer membrane surface (the point at which the virus binds to the host cell). 

The numerical integration of the ODE/PDEs is performed with routines coded (programmed) in R, a quality, open-source scientific computing system that is readily available from the Internet. Formal mathematics is minimized, e.g., no theorems and proofs. Rather, the presentation is through detailed examples that the reader/researcher/analyst can execute on modest computers. The ODE/PDE dependent variables are displayed graphically with basic R plotting utilities. 

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.