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Influence maximization in Boolean networks
The optimization problem aiming at the identification of minimal sets of nodes able to drive
the dynamics of Boolean networks toward desired long-term behaviors is central for some …
the dynamics of Boolean networks toward desired long-term behaviors is central for some …
Quorum-Sensing Systems in the Plant Growth-Promoting Bacterium Paraburkholderia phytofirmans PsJN Exhibit Cross-Regulation and Are Involved in Biofilm …
Quorum-sensing systems play important roles in host colonization and host establishment of
Burkholderiales species. Beneficial Paraburkholderia species share a conserved quorum …
Burkholderiales species. Beneficial Paraburkholderia species share a conserved quorum …
Structural robustness and vulnerability of networks
Networks are useful descriptions of the structure of many complex systems. Unsurprisingly, it
is thus important to analyze the robustness of networks in many scientific disciplines. In …
is thus important to analyze the robustness of networks in many scientific disciplines. In …
Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models
M Barberis, RG Todd, L van der Zee - Yeast Research, 2017 - academic.oup.com
The eukaryotic cell cycle is robustly designed, with interacting molecules organized within a
definite topology that ensures temporal precision of its phase transitions. Its underlying …
definite topology that ensures temporal precision of its phase transitions. Its underlying …
Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach
A common gene regulatory network model is the threshold Boolean network, used for
example to model the Arabidopsis thaliana floral morphogenesis network or the fission yeast …
example to model the Arabidopsis thaliana floral morphogenesis network or the fission yeast …
Gene regulatory networks with binary weights
GA Ruz, E Goles - Biosystems, 2023 - Elsevier
An evolutionary computation framework to learn binary threshold networks is presented.
Inspired by the recent trend of binary neural networks, where weights and activation …
Inspired by the recent trend of binary neural networks, where weights and activation …
Reconstruction of a GRN model of salt stress response in Arabidopsis using genetic algorithms
Salinity is one of the main problems in agriculture, negatively influencing the survival,
biomass production, and yield of food crops. Exposure to high salinity is connected with …
biomass production, and yield of food crops. Exposure to high salinity is connected with …
Learning binary threshold networks for gene regulatory network modeling
GA Ruz, E Goles - 2022 IEEE Conference on Computational …, 2022 - ieeexplore.ieee.org
Inspired by the resent trend of binary neural net-works, where weights and activation
thresholds are represented using 1 and− 1 such that they can be stored in 1-bit instead of …
thresholds are represented using 1 and− 1 such that they can be stored in 1-bit instead of …
Complexity of limit cycles with block-sequential update schedules in conjunctive networks
J Aracena, F Bridoux, L Gómez, L Salinas - Natural Computing, 2023 - Springer
In this paper, we deal with the following decision problem: given a conjunctive Boolean
network defined by its interaction digraph, does it have a limit cycle of a given length k? We …
network defined by its interaction digraph, does it have a limit cycle of a given length k? We …
Logical reduction of biological networks to their most determinative components
MT Matache, V Matache - Bulletin of mathematical biology, 2016 - Springer
Boolean networks have been widely used as models for gene regulatory networks, signal
transduction networks, or neural networks, among many others. One of the main difficulties …
transduction networks, or neural networks, among many others. One of the main difficulties …