Motivation: Mathematical description of biological reaction networks by differential equations
leads to large models whose parameters are calibrated in order to optimally explain …

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 …

Motivation: Mathematical modelling of biological systems is becoming a standard approach
to investigate complex dynamic, non-linear interaction mechanisms in cellular processes. …

Pathological tremors exhibit a nonlinear oscillation that is not strictly periodic. We investigate
whether the deviation from periodicity is due to nonlinear deterministic chaotic dynamics or …

… Timmer & M. KOnig: (RN) On generating power law noise … Timmer & M. König: (RN) On
generating power law noise … Timmer & M. Konig: (RN) On generating power law noise …

Mathematical reaction-diffusion models have been suggested to describe formation of animal
pigmentation patterns and distribution of epidermal appendages. However, the crucial …

Considerable progress has been made in identifying the molecular composition of complex
signaling networks controlling cell proliferation, differentiation, and survival. However, to …

Plant organs grow to characteristic sizes that are genetically controlled. In animals, signaling
by mobile growth factors is thought to be an effective mechanism for measuring primordium …

Cellular biochemical networks have to function in a noisy environment using imperfect
components. In particular, networks involved in gene regulation or signal transduction allow only …

We review the problem of estimating parameters and unobserved trajectory components
from noisy time series measurements of continuous nonlinear dynamical systems. It is first …