In this tutorial, we introduce basic concepts in dynamical systems analysis, such as phase-planes, stability, and bifurcation theory, useful for dissecting the behavior of complex and nonlinear models. A precursor-pool model with positive feedback is used to demonstrate the power of mathematical analysis. This model is nonlinear and exhibits multiple steady states, the stability of which is analyzed. The analysis offers insight into model behavior and suggests useful parameter regions, which simulations alone could not.</p
Systems Biology has brought together researchers from biology, mathe-matics, physics and computer sc...
With many areas of science reaching across their boundaries and becoming more and more interdiscipli...
We first discuss some fundamental results such as equilibria, linearization, and stability of nonlin...
Quantitative systems pharmacology (QSP) can be regarded as a hybrid of pharmacometrics and systems b...
Mathematical models in pharmacodynamics often describe the evolution of pharmacological processes in...
The treatment of complex diseases represents currently a major challenge. In this context systems ph...
Aim: The course aims at providing an overview of some of the mathematical tools used in the modeling...
<p>The overall model is analyzed by decomposing it into upstream and downstream levels. A: The funct...
Mathematical analysis of pharmacological models is becoming increasingly rel- evant for drug devel...
Mathematical biology and pharmacology models have a long and rich history in the fields of medicine ...
Abstract. The focus of this paper is on the use of linearization techniques and lin-ear differential...
To understand complex biological systems such as cells, tissues, or even the human body, it is not s...
We present a phase-space analysis of a mathematical model of tumor growth with an immune response an...
Dynamics of infectious disease in vivo is described by coupled differential equations. Stability ana...
<p>The figure illustrates the pathway of the artificial simulation model used for datasets (i) and (...
Systems Biology has brought together researchers from biology, mathe-matics, physics and computer sc...
With many areas of science reaching across their boundaries and becoming more and more interdiscipli...
We first discuss some fundamental results such as equilibria, linearization, and stability of nonlin...
Quantitative systems pharmacology (QSP) can be regarded as a hybrid of pharmacometrics and systems b...
Mathematical models in pharmacodynamics often describe the evolution of pharmacological processes in...
The treatment of complex diseases represents currently a major challenge. In this context systems ph...
Aim: The course aims at providing an overview of some of the mathematical tools used in the modeling...
<p>The overall model is analyzed by decomposing it into upstream and downstream levels. A: The funct...
Mathematical analysis of pharmacological models is becoming increasingly rel- evant for drug devel...
Mathematical biology and pharmacology models have a long and rich history in the fields of medicine ...
Abstract. The focus of this paper is on the use of linearization techniques and lin-ear differential...
To understand complex biological systems such as cells, tissues, or even the human body, it is not s...
We present a phase-space analysis of a mathematical model of tumor growth with an immune response an...
Dynamics of infectious disease in vivo is described by coupled differential equations. Stability ana...
<p>The figure illustrates the pathway of the artificial simulation model used for datasets (i) and (...
Systems Biology has brought together researchers from biology, mathe-matics, physics and computer sc...
With many areas of science reaching across their boundaries and becoming more and more interdiscipli...
We first discuss some fundamental results such as equilibria, linearization, and stability of nonlin...