… to cellular signaling networks include the identification of signaling pathways and feedback
loops, and the analysis … different modeling methods that are central to this work (Section 2.4). …

… in ways that produce nonlinear and complex systems behaviour such as oscillations. A number
of modelling approaches … components, while discrete models can simulate the biological …

… (ODE) models are used for a broad spectrum of applications, ranging from cellular signaling, …
To evaluate how well the three modeling approaches can recover the true measurement …

… a semi-quantitative fuzzy model of each biological process [16], which enables us to model
system… cal interface for both qualitative and quantitative modelling approaches. On one hand, …

… modeling cellular signal transduction networks has been the inference of crucial pathway
components and the qualitative … The spectrum of modeling approaches for signaling networks …

… In this short review, we remind the reader how these two … of semi-quantitative approaches
for modeling large biological … , a number of qualitative modeling methods emerged in the …

… to identify model parameters, but experimentalists are reluctant to acquire time courses,
which are more costly than qualitative or semi-quantitative measurements. Our approach allows …

… Intracellular signalling is realized by complex signalling … Modular Response Analysis (MRA)
is a convenient modelling method to study signalling networks in various contexts. …

… according to the relative position of some expressions that depend on the initial
concentrations of some proteins and on the rates of the reactions, with respect to some semi-quantitative …

… Qualitative expectations become progressively more untractable for the direct intuition of …
semi-quantitative predictions are impossible. On the other end, the quantitative/semiquantitative …