Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Tonello, Elisa"'
Autor:
Tonello, Elisa, Paulevé, Loïc
We investigate how elimination of variables can affect the asymptotic dynamics and phenotype control of Boolean networks. In particular, we look at the impact on minimal trap spaces, and identify a structural condition that guarantees their preservat
Externí odkaz:
http://arxiv.org/abs/2406.02304
Autor:
Tonello, Elisa, Paulevé, Loïc
Publikováno v:
CMSB 2023: Computational Methods in Systems Biology, pp. 202-219. Springer Nature
Identification of attractors, that is, stable states and sustained oscillations, is an important step in the analysis of Boolean models and exploration of potential variants. We describe an approach to the search for asynchronous cyclic attractors of
Externí odkaz:
http://arxiv.org/abs/2305.01327
Autor:
Schwieger, Robert, Tonello, Elisa
Publikováno v:
Discrete Mathematics & Theoretical Computer Science, vol. 25:2, Automata, Logic and Semantics (March 22, 2024) dmtcs:10930
To simplify the analysis of Boolean networks, a reduction in the number of components is often considered. A popular reduction method consists in eliminating components that are not autoregulated, using variable substitution. In this work, we show ho
Externí odkaz:
http://arxiv.org/abs/2302.03108
Autor:
Richard, Adrien, Tonello, Elisa
The structure of the graph defined by the interactions in a Boolean network can determine properties of the asymptotic dynamics. For instance, considering the asynchronous dynamics, the absence of positive cycles guarantees the existence of a unique
Externí odkaz:
http://arxiv.org/abs/2206.11651
The study of control mechanisms of biological systems allows for interesting applications in bioengineering and medicine, for instance in cell reprogramming or drug target identification. A control strategy often consists of a set of interventions th
Externí odkaz:
http://arxiv.org/abs/2203.13632
Boolean networks are popular tools for the exploration of qualitative dynamical properties of biological systems. Several dynamical interpretations have been proposed based on the same logical structure that captures the interactions between Boolean
Externí odkaz:
http://arxiv.org/abs/2203.01620
Understanding control mechanisms in biological systems plays a crucial role in important applications, for instance in cell reprogramming. Boolean modeling allows the identification of possible efficient strategies, helping to reduce the usually high
Externí odkaz:
http://arxiv.org/abs/2112.10477
Publikováno v:
Proceedings Computational Methods in Systems Biology (CMSB) 2020, Springer International Publisher
The control of biological systems presents interesting applications such as cell reprogramming or drug target identification. A common type of control strategy consists in a set of interventions that, by fixing the values of some variables, force the
Externí odkaz:
http://arxiv.org/abs/2005.09390
Autor:
Tonello, Elisa
This thesis considers two modelling frameworks for interaction networks in biology. The first models the interacting species qualitatively as discrete variables, with the regulatory graphs expressing their mutual influence. Circuits in the regulatory
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748502
Autor:
Tonello, Elisa, Siebert, Heike
We study Boolean networks which are simple spatial models of the highly conserved Delta-Notch system. The models assume the inhibition of Delta in each cell by Notch in the same cell, and the activation of Notch in presence of Delta in surrounding ce
Externí odkaz:
http://arxiv.org/abs/1904.02544