We discuss issues of structural and practical identifiability of partially observed differential
equations which are often applied in systems biology. The development of mathematical …

With the rising application of systems biology, sensitivity analysis methods have been widely
applied to study the biological systems, including metabolic networks, signalling pathways …

Due to the high complexity of biological data it is difficult to disentangle cellular processes
relying only on intuitive interpretation of measurements. A Systems Biology approach that …

Macrophages initiate inflammatory responses via the transcription factor NFκB. The temporal
pattern of NFκB activity determines which genes are expressed and thus, the type of …

Motivation: Modeling of dynamical systems using ordinary differential equations is a popular
approach in the field of Systems Biology. The amount of experimental data that are used to …

Type I interferons (IFNs) are best known for their role in innate immunity, but they are also
involved in other functions including immunomodulation, restricting proliferation, cancer …

As essential mediators of red cell production, erythropoietin (EPO) and its cell surface
receptor (EPO receptor [EPOR]) have been intensely studied. Early investigations defined …

Inferring knowledge about biological processes by a mathematical description is a major
characteristic of Systems Biology. To understand and predict system's behavior the available …

Mathematical description of biological processes such as gene regulatory networks or
signalling pathways by dynamic models utilising ordinary differential equations faces …

Increasingly complex applications involve large datasets in combination with nonlinear and
high-dimensional mathematical models. In this context, statistical inference is a challenging …