fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf

Site Breadcrumb

Verkauf durch Sack Fachmedien

Raman

An Introduction to Computational Systems Biology

Systems-Level Modelling of Cellular Networks

Medium: Buch
ISBN: 978-0-367-75250-7
Verlag: Chapman and Hall/CRC
Erscheinungstermin: 29.05.2023
In den Warenkorb
Lieferfrist: bis zu 10 Tage
Auf die Merkliste Drucken

Überschrift

Beschreibung

Kostenloser Versand

nach Deutschland, Österreich und in die Schweiz

Bequem zahlen

Rechnung, Kreditkarte, PayPal oder Bankeinzug

Wir sind gerne für Sie da

0800 000-1378 (Inland)
service@fachmedien.de
<<Kontaktformular>>

Fragen

Fragen Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua
Anwtorten

Anwtorten At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet

This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks—a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields.

Key Features:

- A hands-on approach to modelling

- Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models

- Thoughtful exercises to test and enable understanding of concepts

- State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design

- Emphasis on coding and software tools for systems biology

- Companion website featuring lecture videos, figure slides, codes, supplementary exercises, further reading, and appendices: https://ramanlab.github.io/SysBioBook/

An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others.

Produkteigenschaften

  • Artikelnummer: 9780367752507
  • Medium: Buch
  • ISBN: 978-0-367-75250-7
  • Verlag: Chapman and Hall/CRC
  • Erscheinungstermin: 29.05.2023
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2023
  • Serie: Chapman & Hall/CRC Computational Biology Series
  • Produktform: Kartoniert
  • Gewicht: 547 g
  • Seiten: 358
  • Format (B x H x T): 156 x 234 x 19 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Autoren

Preface

Introduction to modelling 
1.1 WHAT IS MODELLING? 
1.1.1 What are models? 
1.2 WHYBUILD MODELS? 
1.2.1 Why model biological systems? 
1.2.2 Why systems biology? 
1.3 CHALLENGES IN MODELLING BIOLOGICAL SYSTEMS 
1.4 THE PRACTICE OF MODELLING 
1.4.1 Scope of the model
1.4.2 Making assumptions 
1.4.3 Modelling paradigms 
1.4.4 Building the model 
1.4.5 Model analysis, debugging and (in)validation 
1.4.6 Simulating the model 
1.5 EXAMPLES OF MODELS 
1.5.1 Lotka–Volterra predator–prey model 
1.5.2 SIR model: a classic example 
1.6 TROUBLESHOOTING 
1.6.1 Clarity of scope and objectives 
1.6.2 The breakdown of assumptions 
1.6.3 Ismy model fit for purpose? 
1.6.4 Handling uncertainties 
EXERCISES 
REFERENCES 
FURTHER READING 

Introduction to graph theory 
2.1 BASICS 
2.1.1 History of graph theory 
2.1.2 Examples of graphs 
2.2 WHYGRAPHS? 
2.3 TYPES OF GRAPHS 
2.3.1 Simple vs. non-simple graphs 
2.3.2 Directed vs. undirected graphs 
2.3.3 Weighted vs. unweighted graphs 
2.3.4 Other graph types 
2.3.5 Hypergraphs 
2.4 COMPUTATIONAL REPRESENTATIONS OF GRAPHS 
2.4.1 Data structures 
2.4.2 Adjacency matrix 
2.4.3 The laplacian matrix 
2.5 GRAPH REPRESENTATIONS OF BIOLOGICAL NETWORKS 
2.5.1 Networks of protein interactions and functional associations
2.5.2 Signalling networks 
2.5.3 Protein structure networks 
2.5.4 Gene regulatory networks 
2.5.5 Metabolic networks 
2.6 COMMONCHALLENGES&TROUBLESHOOTING 
2.6.1 Choosing a representation 
2.6.2 Loading and creating graphs 
2.7 SOFTWARE TOOLS 
EXERCISES 
REFERENCES 
FURTHER READING 

Structure of networks 
3.1 NETWORK PARAMETERS 
3.1.1 Fundamental parameters 
3.1.2 Measures of centrality 
3.1.3 Mixing patterns: assortativity 
3.2 CANONICAL NETWORK MODELS 
3.2.1 Erdos–Rényi (ER) network model 
3.2.2 Small-world networks 
3.2.3 Scale-free networks 
3.2.4 Other models of network generation 
3.3 COMMUNITY DETECTION 
3.3.1 Modularity maximisatio