In order to understand the functioning of organisms on the molecular level, we need to know
which genes are expressed, when and where in the organism, and to which extent. The …

This review covers the group of data-analysis techniques collectively referred to as
symbolization or symbolic time-series analysis. Symbolization involves transformation of raw …

In order to cope with the large amounts of data that have become available in genomics,
mathematical tools for the analysis of networks of interactions between genes, proteins, and …

A formalism based on piecewise-linear (PL) differential equations, originally due to Glass
and Kauffman, has been shown to be well-suited to modelling genetic regulatory networks …

" Control of Complex Systems: Structural Constraints and Uncertainty" focuses on control
design under information structure constraints, with a particular emphasis on large-scale …

We present COMPUCELL3D, a software framework for three-dimensional simulation of
morphogenesis in different organisms. COMPUCELL3D employs biologically relevant …

The stride interval of human gait fluctuates in complex fashion. It reflects the rhythm of the
locomotor system. The temporal fluctuations in the stride interval provide us a non-invasive …

The biological and dynamical importance of feedback circuits in regulatory graphs has often
been emphasized. The work presented here aims at completly describing the dynamics of …

Background The regulatory feedback loops that present in structural and functional
organization of molecular-genetic systems and the phenomenon of the regulatory signal …

We introduce simple models of genetic regulatory networks and we proceed to the
mathematical analysis of their dynamics. The models are discrete time dynamical systems …