Background Mathematical models provide abstract representations of the information
gained from experimental observations on the structure and function of a particular …

Dynamic models formulated as a set of ordinary differential equations provide a detailed
description of the time-evolution of a system. Such models of (bio) chemical reaction …

The organization, regulation and dynamical responses of biological systems are in many
cases too complex to allow intuitive predictions and require the support of mathematical …

Mathematical models of biological processes have various applications: to assist in
understanding the functioning of a system, to simulate experiments before actually …

Background The inference of biological networks from high-throughput data has received
huge attention during the last decade and can be considered an important problem class in …

Systems biology and its usage of mathematical modeling to analyse biological data is
rapidly becoming an established approach to biology. A crucial advantage of this approach …

Dynamic models of biochemical networks are often formulated as sets of non-linear ordinary
differential equations, whose states are the concentrations or abundances of the network …

Mathematical modelling offers a variety of useful techniques to help in understanding the
intrinsic behaviour of complex signal transduction networks. From the system engineering …

Background Recent advances in molecular biology techniques provide an opportunity for
developing detailed mathematical models of biological processes. An iterative scheme is …

Background Mathematical modeling and analysis have become, for the study of biological
and cellular processes, an important complement to experimental research. However, the …