Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems. This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling. The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists
Systems biology applies quantitative, mechanistic modelling to study genetic networks, signal transd...
Gene regulatory networks are powerful abstractions of biological systems. Since the advent of high-t...
The term biological system encompasses all living systems within which components interact with one ...
Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of,...
Systems biology focuses on the integration of experimental, mathematical and computational technique...
The field of system biology focuses on creating a finely detailed picture of biological mechanisms. ...
The main topic of this thesis is the study of biological regulatory systems using different computat...
This book is intended for students of computational systems biology with only a limited background i...
This book is intended for students of computational systems biology with only a limited background i...
Systems Biology is now entering a mature phase in which the key issues are characterising uncertaint...
Network theory is today a central topic in computational systems biology as a framework to understan...
Modelers are tackling ever more complex systems with the aid of computation. Model-based inferences ...
Abstract: In recent years, in silico studies and trial simulations have complemented experimental pr...
Systems Biology has taken advantage of computational tools and high-throughput experimental data to ...
It has become commonly accepted that systems approaches to biology are of outstanding importance to ...
Systems biology applies quantitative, mechanistic modelling to study genetic networks, signal transd...
Gene regulatory networks are powerful abstractions of biological systems. Since the advent of high-t...
The term biological system encompasses all living systems within which components interact with one ...
Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of,...
Systems biology focuses on the integration of experimental, mathematical and computational technique...
The field of system biology focuses on creating a finely detailed picture of biological mechanisms. ...
The main topic of this thesis is the study of biological regulatory systems using different computat...
This book is intended for students of computational systems biology with only a limited background i...
This book is intended for students of computational systems biology with only a limited background i...
Systems Biology is now entering a mature phase in which the key issues are characterising uncertaint...
Network theory is today a central topic in computational systems biology as a framework to understan...
Modelers are tackling ever more complex systems with the aid of computation. Model-based inferences ...
Abstract: In recent years, in silico studies and trial simulations have complemented experimental pr...
Systems Biology has taken advantage of computational tools and high-throughput experimental data to ...
It has become commonly accepted that systems approaches to biology are of outstanding importance to ...
Systems biology applies quantitative, mechanistic modelling to study genetic networks, signal transd...
Gene regulatory networks are powerful abstractions of biological systems. Since the advent of high-t...
The term biological system encompasses all living systems within which components interact with one ...