| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910484496803321 |
|
|
Autore |
Lei Jinzhi |
|
|
Titolo |
Systems Biology : Modeling, Analysis, and Simulation / / by Jinzhi Lei |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2021.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XII, 308 p. 95 illus., 69 illus. in color.) |
|
|
|
|
|
|
Collana |
|
Lecture Notes on Mathematical Modelling in the Life Sciences, , 2193-4797 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Differential equations |
Stochastic models |
Bioinformatics |
Biology |
Cytology |
Differential Equations |
Stochastic Modelling |
Computational and Systems Biology |
Biological Sciences |
Cell Biology |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
1. Biological Background–Information, Energy, and Matter -- 2. Mathematical Preliminary–Continuous Dynamics -- 3. Mathematical Preliminary–Stochastic Modeling -- 4. Stochastic Modeling of Gene Expression -- 5. Mathematical Models for Gene Regulatory Network Dynamics -- 6. Dynamical Modeling of Stem Cell Regeneration -- 7. Mathematical Models of Morphogen Gradients and Growth Control. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book discusses the mathematical simulation of biological systems, with a focus on the modeling of gene expression, gene regulatory networks and stem cell regeneration. The diffusion of morphogens is addressed by introducing various reaction-diffusion equations based on different hypotheses concerning the process of morphogen gradient formation. The robustness of steady-state gradients is also covered through boundary value problems. The introduction gives an overview |
|
|
|
|
|
|
|
|
|
|
of the relevant biological concepts (cells, DNA, organism development) and provides the requisite mathematical preliminaries on continuous dynamics and stochastic modeling. A basic understanding of calculus is assumed. The techniques described in this book encompass a wide range of mechanisms, from molecular behavior to population dynamics, and the inclusion of recent developments in the literature together with first-hand results make it an ideal reference for both new students and experienced researchers in the field of systems biology and applied mathematics. |
|
|
|
|
|
| |