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 …
R Casey, H Jong, JL Gouzé - Journal of mathematical biology, 2006 - Springer
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 …
TM Cickovski, C Huang, R Chaturvedi… - IEEE/ACM …, 2005 - ieeexplore.ieee.org
We present COMPUCELL3D, a software framework for three-dimensional simulation of morphogenesis in different organisms. COMPUCELL3D employs biologically relevant …
W Aziz, M Arif - European journal of applied physiology, 2006 - Springer
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 …
R Coutinho, B Fernandez, R Lima… - Journal of Mathematical …, 2006 - Springer
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 …